Xin Yao

According to our database1, Xin Yao
  • authored at least 521 papers between 1992 and 2017.
  • has a "Dijkstra number"2 of four.

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Bibliography

2017
Constraint Handling in NSGA-II for Solving Optimal Testing Resource Allocation Problems.
IEEE Trans. Reliability, 2017

A Cluster-Based Semisupervised Ensemble for Multiclass Classification.
IEEE Trans. Emerging Topics in Comput. Intellig., 2017

DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization.
IEEE Trans. Evolutionary Computation, 2017

Average Drift Analysis and Population Scalability.
IEEE Trans. Evolutionary Computation, 2017

Diversity Assessment in Many-Objective Optimization.
IEEE Trans. Cybernetics, 2017

Nadir point estimation for many-objective optimization problems based on emphasized critical regions.
Soft Comput., 2017

A multi-agent evolutionary algorithm for software module clustering problems.
Soft Comput., 2017

Preface.
Natural Computing, 2017

Preface.
Natural Computing, 2017

Optimal relay placement for lifetime maximization in wireless underground sensor networks.
Inf. Sci., 2017

Parallel population-based algorithm portfolios: An empirical study.
Neurocomputing, 2017

An iterative pseudo-gap enumeration approach for the Multidimensional Multiple-choice Knapsack Problem.
European Journal of Operational Research, 2017

Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization.
CoRR, 2017

Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms.
CoRR, 2017

What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-based Evolutionary Multi-Objective Optimisation.
CoRR, 2017

Kernel Truncated Regression Representation for Robust Subspace Clustering.
CoRR, 2017

A Systematic Study of Online Class Imbalance Learning with Concept Drift.
CoRR, 2017

Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17).
CoRR, 2017

Concept Drift Adaptation by Exploiting Historical Knowledge.
CoRR, 2017

Experience-based Optimization: A Coevolutionary Approach.
CoRR, 2017

How to Read Many-Objective Solution Sets in Parallel Coordinates.
CoRR, 2017

Dominance Move: A Measure of Comparing Solution Sets in Multiobjective Optimization.
CoRR, 2017

Integration of Preferences in Decomposition Multi-Objective Optimization.
CoRR, 2017

Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results.
CoRR, 2017

How to Read Many-Objective Solution Sets in Parallel Coordinates [Educational Forum].
IEEE Comp. Int. Mag., 2017

Which models of the past are relevant to the present? A software effort estimation approach to exploiting useful past models.
Autom. Softw. Eng., 2017

Predicting Car Park Occupancy Rates in Smart Cities.
Proceedings of the Smart Cities - Second International Conference, Smart-CT 2017, Málaga, 2017

Adjusting Parallel Coordinates for Investigating Multi-objective Search.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Improvement of Reference Points for Decomposition Based Multi-objective Evolutionary Algorithms.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Surrogate Model Assisted Multi-objective Differential Evolution Algorithm for Performance Optimization at Software Architecture Level.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

The Future of Camera Networks: Staying Smart in a Chaotic World.
Proceedings of the 11th International Conference on Distributed Smart Cameras, 2017

Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Parallel peaks: A visualization method for benchmark studies of multimodal optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Knowledge-based particle swarm optimization for PID controller tuning.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Conclusions and Outlook.
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016

Self-aware Computing: Introduction and Motivation.
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016

Defect- and Variation-Tolerant Logic Mapping in Nanocrossbar Using Bipartite Matching and Memetic Algorithm.
IEEE Trans. VLSI Syst., 2016

Dynamic Software Project Scheduling through a Proactive-Rescheduling Method.
IEEE Trans. Software Eng., 2016

A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization.
ACM Trans. Math. Softw., 2016

Online Ensemble Learning of Data Streams with Gradually Evolved Classes.
IEEE Trans. Knowl. Data Eng., 2016

Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers.
IEEE Trans. Evolutionary Computation, 2016

A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evolutionary Computation, 2016

A Survey on Evolutionary Computation Approaches to Feature Selection.
IEEE Trans. Evolutionary Computation, 2016

Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems.
IEEE Trans. Evolutionary Computation, 2016

Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators.
IEEE Trans. Evolutionary Computation, 2016

Cooperative Co-Evolutionary Module Identification With Application to Cancer Disease Module Discovery.
IEEE Trans. Evolutionary Computation, 2016

Regularity Model for Noisy Multiobjective Optimization.
IEEE Trans. Cybernetics, 2016

Binarization With Boosting and Oversampling for Multiclass Classification.
IEEE Trans. Cybernetics, 2016

Layered Ensemble Architecture for Time Series Forecasting.
IEEE Trans. Cybernetics, 2016

Objective reduction based on nonlinear correlation information entropy.
Soft Comput., 2016

On investigation of interdependence between sub-problems of the Travelling Thief Problem.
Soft Comput., 2016

Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis.
Soft Comput., 2016

Negatively Correlated Search.
IEEE Journal on Selected Areas in Communications, 2016

Success Probability of Exploration: a Concrete Analysis of Learning Efficiency.
CoRR, 2016

High-dimensional Black-box Optimization via Divide and Approximate Conquer.
CoRR, 2016

Probabilistic Feature Selection and Classification Vector Machine.
CoRR, 2016

Dynamic Multi-Objectives Optimization with a Changing Number of Objectives.
CoRR, 2016

FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software at Runtime.
CoRR, 2016

Target shape design optimization by evolving B-splines with cooperative coevolution.
Appl. Soft Comput., 2016

An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Variable Interaction in Multi-objective Optimization Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Dealing with Multiple Classes in Online Class Imbalance Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Robust Online Time Series Prediction with Recurrent Neural Networks.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

A multi-modal optimization approach to single path planning for unmanned aerial vehicle.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Improving the performance of evolutionary engine calibration algorithms with principal component analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

CBCC3 - A contribution-based cooperative co-evolutionary algorithm with improved exploration/exploitation balance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Search based recommender system using many-objective evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A Learning-to-Rank Approach to Software Defect Prediction.
IEEE Trans. Reliability, 2015

Resampling-Based Ensemble Methods for Online Class Imbalance Learning.
IEEE Trans. Knowl. Data Eng., 2015

Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression.
IEEE Trans. Knowl. Data Eng., 2015

A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks.
IEEE Trans. Intelligent Transportation Systems, 2015

Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization.
IEEE Trans. Evolutionary Computation, 2015

Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance.
IEEE Trans. Evolutionary Computation, 2015

Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey.
IEEE Trans. Evolutionary Computation, 2015

On the Easiest and Hardest Fitness Functions.
IEEE Trans. Evolutionary Computation, 2015

Robust Optimization Over Time: Problem Difficulties and Benchmark Problems.
IEEE Trans. Evolutionary Computation, 2015

A New Evolutionary Algorithm with Structure Mutation for the Maximum Balanced Biclique Problem.
IEEE Trans. Cybernetics, 2015

Evolutionary Path Control Strategy for Solving Many-Objective Optimization Problem.
IEEE Trans. Cybernetics, 2015

Cooperative Coevolutionary Algorithm-Based Model Predictive Control Guaranteeing Stability of Multirobot Formation.
IEEE Trans. Contr. Sys. Techn., 2015

Static, Dynamic, and Adaptive Heterogeneity in Distributed Smart Camera Networks.
TAAS, 2015

The time complexity analysis of a class of gene expression programming.
Soft Comput., 2015

Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems.
Inf. Sci., 2015

Robust twin boosting for feature selection from high-dimensional omics data with label noise.
Inf. Sci., 2015

An efficient local search heuristic with row weighting for the unicost set covering problem.
European Journal of Operational Research, 2015

Many-Objective Evolutionary Algorithms: A Survey.
ACM Comput. Surv., 2015

Negatively Correlated Cooperative Search.
CoRR, 2015

Online QoS Modeling in the Cloud: A Hybrid and Adaptive Multi-Learners Approach.
CoRR, 2015

Self-Aware and Self-Expressive Systems.
IEEE Computer, 2015

Architectural Aspects of Self-Aware and Self-Expressive Computing Systems: From Psychology to Engineering.
IEEE Computer, 2015

A Growing Story [President's Message].
IEEE Comp. Int. Mag., 2015

50th Anniversary of Fuzzy Logic [President's Message].
IEEE Comp. Int. Mag., 2015

Newly Elected CIS Administrative Committee Members (2015-2017) [Society Briefs].
IEEE Comp. Int. Mag., 2015

Means to an End Is Not the Same as the End Itself [President's Message].
IEEE Comp. Int. Mag., 2015

Big Data Analytics, Data Science and the CIS [President's Message].
IEEE Comp. Int. Mag., 2015

A clustering-ranking method for many-objective optimization.
Appl. Soft Comput., 2015

Increasingly Cautious Optimism for Practical PAC-MDP Exploration.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Model Metric Co-Learning for Time Series Classification.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Keynote speech I: Co-evolutionary learning in game-playing.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Heuristic evolution with Genetic Programming for Traveling Thief Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

QoS-aware long-term based service composition in cloud computing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

An evolutionary algorithm for performance optimization at software architecture level.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Improved Evolutionary Algorithm Design for the Project Scheduling Problem Based on Runtime Analysis.
IEEE Trans. Software Eng., 2014

Socio-economic vision graph generation and handover in distributed smart camera networks.
TOSN, 2014

Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection.
IEEE Trans. Neural Netw. Learning Syst., 2014

Learning in the Model Space for Cognitive Fault Diagnosis.
IEEE Trans. Neural Netw. Learning Syst., 2014

MWMOTE-Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning.
IEEE Trans. Knowl. Data Eng., 2014

A New Memetic Algorithm With Fitness Approximation for the Defect-Tolerant Logic Mapping in Crossbar-Based Nanoarchitectures.
IEEE Trans. Evolutionary Computation, 2014

Frequency Fitness Assignment.
IEEE Trans. Evolutionary Computation, 2014

Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization.
IEEE Trans. Evolutionary Computation, 2014

Cooperative Coevolution With Route Distance Grouping for Large-Scale Capacitated Arc Routing Problems.
IEEE Trans. Evolutionary Computation, 2014

An Evolutionary Multiobjective Approach to Sparse Reconstruction.
IEEE Trans. Evolutionary Computation, 2014

Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data.
IEEE Trans. Evolutionary Computation, 2014

Corner Sort for Pareto-Based Many-Objective Optimization.
IEEE Trans. Cybernetics, 2014

Meta-Heuristic Combining Prior Online and Offline Information for the Quadratic Assignment Problem.
IEEE Trans. Cybernetics, 2014

Population-based Algorithm Portfolios with automated constituent algorithms selection.
Inf. Sci., 2014

Runtime analysis of the (1 + 1) EA on computing unique input output sequences.
Inf. Sci., 2014

Co-evolutionary automatic programming for software development.
Inf. Sci., 2014

Multiobjective genetic programming for maximizing ROC performance.
Neurocomputing, 2014

A new self-adaptation scheme for differential evolution.
Neurocomputing, 2014

A review of concurrent optimisation methods.
IJBIC, 2014

Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network.
Eng. Appl. of AI, 2014

The Handbook of Engineering Self-Aware and Self-Expressive Systems.
CoRR, 2014

[President's Message].
IEEE Comp. Int. Mag., 2014

[President's Message].
IEEE Comp. Int. Mag., 2014

Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem.
IEEE Comp. Int. Mag., 2014

IEEE CIFEr 2014 - Leading Forum on Computational Finance and Economics Research in Academia and Industry [Conference Reports].
IEEE Comp. Int. Mag., 2014

Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space.
Computers & Chemical Engineering, 2014

Architecting Self-Aware Software Systems.
Proceedings of the 2014 IEEE/IFIP Conference on Software Architecture, 2014

Online QoS Modeling in the Cloud: A Hybrid and Adaptive Multi-learners Approach.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

Improving Efficiency of Heuristics for the Large Scale Traveling Thief Problem.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

The potential benefit of relevance vector machine to software effort estimation.
Proceedings of the 10th International Conference on Predictive Models in Software Engineering, 2014

A multi-objective ensemble method for online class imbalance learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

How to make best use of cross-company data in software effort estimation?
Proceedings of the 36th International Conference on Software Engineering, 2014

Temperature management for heterogeneous multi-core FPGAs using adaptive evolutionary multi-objective approaches.
Proceedings of the 2014 IEEE International Conference on Evolvable Systems, 2014

Diversity-Driven Selection of Multiple Crossover Operators for the Capacitated Arc Routing Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimisation, 2014

Multi-colony ant algorithms for the dynamic travelling salesman problem.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014

Evolving exact integer algorithms with Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Variable neighborhood decomposition for Large Scale Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

An improved Two Archive Algorithm for Many-Objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Heuristic optimization for software project management with impacts of team efficiency.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

What are dynamic optimization problems?
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Model representation and cooperative coevolution for finite-state machine evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Dynamic Combinatorial Optimization Problems: A Fitness Landscape Analysis.
Proceedings of the Metaheuristics for Dynamic Optimization, 2013

Dynamic Time-Linkage Evolutionary Optimization: Definitions and Potential Solutions.
Proceedings of the Metaheuristics for Dynamic Optimization, 2013

Recent Advances in Evolutionary Algorithms for Job Shop Scheduling.
Proceedings of the Automated Scheduling and Planning - From Theory to Practice, 2013

Using Class Imbalance Learning for Software Defect Prediction.
IEEE Trans. Reliability, 2013

Software effort estimation as a multiobjective learning problem.
ACM Trans. Softw. Eng. Methodol., 2013

Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification.
IEEE Trans. Neural Netw. Learning Syst., 2013

Negative Correlation Ensemble Learning for Ordinal Regression.
IEEE Trans. Neural Netw. Learning Syst., 2013

Relationships between Diversity of Classification Ensembles and Single-Class Performance Measures.
IEEE Trans. Knowl. Data Eng., 2013

Complex Coevolutionary Dynamics - Structural Stability and Finite Population Effects.
IEEE Trans. Evolutionary Computation, 2013

Scaling Up Estimation of Distribution Algorithms for Continuous Optimization.
IEEE Trans. Evolutionary Computation, 2013

Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data.
IEEE Trans. Evolutionary Computation, 2013

Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach.
IEEE Trans. Cybernetics, 2013

A framework for finding robust optimal solutions over time.
Memetic Computing, 2013

Ensembles and locality: Insight on improving software effort estimation.
Information & Software Technology, 2013

Online Class Imbalance Learning and its Applications in Fault Detection.
International Journal of Computational Intelligence and Applications, 2013

Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance
CoRR, 2013

A Unified Markov Chain Approach to Analysing Randomised Search Heuristics.
CoRR, 2013

Average Drift Analysis and its Application.
CoRR, 2013

Re-scheduling in railway networks.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Some Recent Work on Multi-objective Approaches to Search-Based Software Engineering.
Proceedings of the Search Based Software Engineering - 5th International Symposium, 2013

Learning to be Different: Heterogeneity and Efficiency in Distributed Smart Camera Networks.
Proceedings of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2013

CamSim: A Distributed Smart Camera Network Simulator.
Proceedings of the 7th IEEE International Conference on Self-Adaptation and Self-Organizing Systems Workshops, 2013

The impact of parameter tuning on software effort estimation using learning machines.
Proceedings of the 9th International Conference on Predictive Models in Software Engineering, 2013

An analysis of multi-objective evolutionary algorithms for training ensemble models based on different performance measures in software effort estimation.
Proceedings of the 9th International Conference on Predictive Models in Software Engineering, 2013

A memetic algorithm for uncertain Capacitated Arc Routing Problems.
Proceedings of the 2013 IEEE Workshop on Memetic Computing, 2013

Can Diversity amongst Learners Improve Online Object Tracking?
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Model-based kernel for efficient time series analysis.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Concept drift detection for online class imbalance learning.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

On the Approximation Ability of Evolutionary Optimization with Application to Minimum Set Cover: Extended Abstract.
Proceedings of the IJCAI 2013, 2013

Pipe failure prediction: A data mining method.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Challenges and opportunities in dynamic optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Finding Robust Solutions to Dynamic Optimization Problems.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

A learning framework for online class imbalance learning.
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

Decomposing Large-Scale Capacitated Arc Routing Problems using a random route grouping method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Exposing market mechanism design trade-offs via multi-objective evolutionary search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Selected Aspects of Natural Computing.
Proceedings of the Handbook of Natural Computing, 2012

Ubiquity symposium: Evolutionary computation and the processes of life: the essence of evolutionary computation.
Ubiquity, 2012

An Efficient Evolutionary Approach to Parameter Identification in a Building Thermal Model.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2012

Multiclass Imbalance Problems: Analysis and Potential Solutions.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2012

Evolutionary and Principled Search Strategies for Sensornet Protocol Optimization.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2012

Semisupervised Classification With Cluster Regularization.
IEEE Trans. Neural Netw. Learning Syst., 2012

DDD: A New Ensemble Approach for Dealing with Concept Drift.
IEEE Trans. Knowl. Data Eng., 2012

Cooperatively Coevolving Particle Swarms for Large Scale Optimization.
IEEE Trans. Evolutionary Computation, 2012

On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms.
IEEE Trans. Evolutionary Computation, 2012

Improving Generalization Performance in Co-Evolutionary Learning.
IEEE Trans. Evolutionary Computation, 2012

Continuous Dynamic Constrained Optimization - The Challenges.
IEEE Trans. Evolutionary Computation, 2012

Editorial to the special issue on "Theoretical Foundations of Evolutionary Computation".
Theor. Comput. Sci., 2012

A large population size can be unhelpful in evolutionary algorithms.
Theor. Comput. Sci., 2012

Evolutionary mechanics: new engineering principles for the emergence of flexibility in a dynamic and uncertain world.
Natural Computing, 2012

A grey-box approach to automated mechanism design.
Electronic Commerce Research and Applications, 2012

Learning in the Model Space for Fault Diagnosis
CoRR, 2012

A Large Population Size Can Be Unhelpful in Evolutionary Algorithms
CoRR, 2012

Diversity Guided Evolutionary Programming: A novel approach for continuous optimization.
Appl. Soft Comput., 2012

On the approximation ability of evolutionary optimization with application to minimum set cover.
Artif. Intell., 2012

Unpacking and Understanding Evolutionary Algorithms.
Proceedings of the Advances in Computational Intelligence, 2012

Can cross-company data improve performance in software effort estimation?
Proceedings of the 8th International Conference on Predictive Models in Software Engineering, 2012

A Benchmark Generator for Dynamic Permutation-Encoded Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Homogeneous and Heterogeneous Island Models for the Set Cover Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Community Detection Using Cooperative Co-evolutionary Differential Evolution.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Using unreliable data for creating more reliable online learners.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A Learning-to-Rank Algorithm for Constructing Defect Prediction Models.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Improved adaptivity and robustness in decentralised multi-camera networks.
Proceedings of the Sixth International Conference on Distributed Smart Cameras, 2012

Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Dynamic adaptive search based software engineering.
Proceedings of the 2012 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, 2012

Resource-aware configuration in smart camera networks.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

Characterizing environmental changes in Robust Optimization Over Time.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
A Hybrid Ant Colony Optimization Algorithm for the Extended Capacitated Arc Routing Problem.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

Recurring Two-Stage Evolutionary Programming: A Novel Approach for Numeric Optimization.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

Software Module Clustering as a Multi-Objective Search Problem.
IEEE Trans. Software Eng., 2011

Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem.
IEEE Trans. Evolutionary Computation, 2011

Scalability of generalized adaptive differential evolution for large-scale continuous optimization.
Soft Comput., 2011

Dynamic combinatorial optimisation problems: an analysis of the subset sum problem.
Soft Comput., 2011

Crossover can be constructive when computing unique input-output sequences.
Soft Comput., 2011

Scaling Up Estimation of Distribution Algorithms For Continuous Optimization
CoRR, 2011

The Impact of Mutation Rate on the Computation Time of Evolutionary Dynamic Optimization
CoRR, 2011

Evolutionary Mechanics: new engineering principles for the emergence of flexibility in a dynamic and uncertain world
CoRR, 2011

Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate.
SCIENCE CHINA Information Sciences, 2011

A Survey of Self-Awareness and Its Application in Computing Systems.
Proceedings of the Fifth IEEE Conference on Self-Adaptive and Self-Organizing Systems, 2011

A principled evaluation of ensembles of learning machines for software effort estimation.
Proceedings of the 7th International Conference on Predictive Models in Software Engineering, 2011

Fitness Landscape-Based Parameter Tuning Method for Evolutionary Algorithms for Computing Unique Input Output Sequences.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

A socio-economic approach to online vision graph generation and handover in distributed smart camera networks.
Proceedings of the 2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras, 2011

The Evolution of Evolutionary Computation.
Proceedings of the Adaptive and Intelligent Systems - Second International Conference, 2011

Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolution of neural symmetry and its coupled alignment to body plan morphology.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Non-uniform mutation rates for problems with unknown solution lengths.
Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

Fitness-Probability Cloud and a Measure of Problem Hardness for Evolutionary Algorithms.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations.
Proceedings of the International Conference on Complex, 2011

Neural networks ensembles for short-term load forecasting.
Proceedings of the IEEE Symposium on Computational Intelligence Applications In Smart Grid, 2011

A Memetic Genetic Programming with decision tree-based local search for classification problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Classification-assisted Differential Evolution for computationally expensive problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Co-learning Segmentation in Marketplaces.
Proceedings of the Adaptive and Learning Agents - International Workshop, 2011

2010
A Memetic Algorithm for Multi-Level Redundancy Allocation.
IEEE Trans. Reliability, 2010

Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems.
IEEE Trans. Reliability, 2010

Sparse approximation through boosting for learning large scale kernel machines.
IEEE Trans. Neural Networks, 2010

The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift.
IEEE Trans. Knowl. Data Eng., 2010

Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning.
IEEE Trans. Knowl. Data Eng., 2010

An Evolutionary Approach to the Multidepot Capacitated Arc Routing Problem.
IEEE Trans. Evolutionary Computation, 2010

Population-Based Algorithm Portfolios for Numerical Optimization.
IEEE Trans. Evolutionary Computation, 2010

Analysis of Computational Time of Simple Estimation of Distribution Algorithms.
IEEE Trans. Evolutionary Computation, 2010

Choosing selection pressure for wide-gap problems.
Theor. Comput. Sci., 2010

Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application.
Pattern Recognition, 2010

On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms
CoRR, 2010

Evolutionary Algorithms as Guaranteed Approximation Optimizers
CoRR, 2010

Resource allocation in decentralised computational systems: an evolutionary market-based approach.
Autonomous Agents and Multi-Agent Systems, 2010

Market-based control of computational systems: introduction to the special issue.
Autonomous Agents and Multi-Agent Systems, 2010

Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat.
Proceedings of the From Animals to Animats 11, 2010

The Role of Degenerate Robustness in the Evolvability of Multi-agent Systems in Dynamic Environments.
Proceedings of the Parallel Problem Solving from Nature, 2010

Negative correlation learning for classification ensembles.
Proceedings of the International Joint Conference on Neural Networks, 2010

Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

The Effectiveness of a New Negative Correlation Learning Algorithm for Classification Ensembles.
Proceedings of the ICDMW 2010, 2010

Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Co-evolution of Optimal Agents for the Alternating Offers Bargaining Game.
Proceedings of the Applications of Evolutionary Computation, 2010

On Reliability Of Simulations Of Complex Co-Evolutionary Processes.
Proceedings of the European Conference on Modelling and Simulation, 2010

Robust optimization over time - A new perspective on dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

On the role of modularity in evolutionary dynamic optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Cooperative Co-evolution for large scale optimization through more frequent random grouping.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Cooperative Co-evolution with delta grouping for large scale non-separable function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Capacitated arc routing problem in uncertain environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Using GP to evolve decision rules for classification in financial data sets.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
A Global Repair Operator for Capacitated Arc Routing Problem.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

A New Constructive Algorithm for Architectural and Functional Adaptation of Artificial Neural Networks.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

A New Adaptive Merging and Growing Algorithm for Designing Artificial Neural Networks.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

Regularized Negative Correlation Learning for Neural Network Ensembles.
IEEE Trans. Neural Networks, 2009

Probabilistic Classification Vector Machines.
IEEE Trans. Neural Networks, 2009

Predictive Ensemble Pruning by Expectation Propagation.
IEEE Trans. Knowl. Data Eng., 2009

Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems.
IEEE Trans. Evolutionary Computation, 2009

Analysis of the (1+1) -EA for Finding Approximate Solutions to Vertex Cover Problems.
IEEE Trans. Evolutionary Computation, 2009

Relationship Between Generalization and Diversity in Coevolutionary Learning.
IEEE Trans. Comput. Intellig. and AI in Games, 2009

Negative correlation in incremental learning.
Natural Computing, 2009

Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization.
Memetic Computing, 2009

Interactive Genetic Algorithms with Individual Fitness Not Assigned by Human.
J. UCS, 2009

Innovative Batik Design with an Interactive Evolutionary Art System.
J. Comput. Sci. Technol., 2009

Selective negative correlation learning approach to incremental learning.
Neurocomputing, 2009

From nature to computing and back.
Frontiers of Computer Science in China, 2009

Runtime analysis of search heuristics on software engineering problems.
Frontiers of Computer Science in China, 2009

Improving the performance of evolutionary algorithms in grid-based puzzles resolution.
Evolutionary Intelligence, 2009

Uncovering delayed patterns in noisy and irregularly sampled time series: an astronomy application
CoRR, 2009

IEEE Fellows - Class of 2009 [Society news].
IEEE Comp. Int. Mag., 2009

Self-optimizing architecture for ensuring Quality Attributes in the cloud.
Proceedings of the Joint Working IEEE/IFIP Conference on Software Architecture 2009 and European Conference on Software Architecture 2009, 2009

Diversity exploration and negative correlation learning on imbalanced data sets.
Proceedings of the International Joint Conference on Neural Networks, 2009

Using diversity to handle concept drift in on-line learning.
Proceedings of the International Joint Conference on Neural Networks, 2009

The Minimum Redundancy - Maximum Relevance Approach to Building Sparse Support Vector Machines.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance Learning.
Proceedings of the ICDM Workshops 2009, 2009

Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning.
Proceedings of the Artificial Neural Networks, 2009

Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

On the impact of the mutation-selection balance on the runtime of evolutionary algorithms.
Proceedings of the Foundations of Genetic Algorithms, 2009

The Dynamic Knapsack Problem Revisited: A New Benchmark Problem for Dynamic Combinatorial Optimisation.
Proceedings of the Applications of Evolutionary Computing, 2009

Dynamic Time-Linkage Problems Revisited.
Proceedings of the Applications of Evolutionary Computing, 2009

Co-Evolutionary Learning Of Contextual Asymmetric Actors.
Proceedings of the European Conference on Modelling and Simulation, 2009

The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

Diversity analysis on imbalanced data sets by using ensemble models.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A multi-objective approach to Redundancy Allocation Problem in parallel-series systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Comparing design of experiments and evolutionary approaches to multi-objective optimisation of sensornet protocols.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A cooperative coevolutionary algorithm with Correlation based Adaptive Variable Partitioning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Multi-start JADE with knowledge transfer for numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Benchmarking and solving dynamic constrained problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Improved memetic algorithm for Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Evolutionary market agents and heterogeneous service providers: Achieving desired resource allocations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

When is an estimation of distribution algorithm better than an evolutionary algorithm?
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

An evaluation of Differential Evolution in software test data generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

How Specialised Are Specialists? Generalisation Properties of Entries from the 2008 and 2009 TAC Market Design Competitions.
Proceedings of the Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets, 2009

2008
Evolving Artificial Neural Network Ensembles.
Proceedings of the Computational Intelligence: A Compendium, 2008

A Computational Intelligence Approach to Railway Track Intervention Planning.
Proceedings of the Evolutionary Computation in Practice, 2008

Bagging and Boosting Negatively Correlated Neural Networks.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2008

Neural-Based Learning Classifier Systems.
IEEE Trans. Knowl. Data Eng., 2008

Population-Based Incremental Learning With Associative Memory for Dynamic Environments.
IEEE Trans. Evolutionary Computation, 2008

Measuring Generalization Performance in Coevolutionary Learning.
IEEE Trans. Evolutionary Computation, 2008

Neuronal population oscillations of rat hippocampus during epileptic seizures.
Neural Networks, 2008

Preface.
J. Comput. Sci. Technol., 2008

Large scale evolutionary optimization using cooperative coevolution.
Inf. Sci., 2008

Special Issue on "Nature Inspired Problem-Solving".
Inf. Sci., 2008

Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms.
Inf. Sci., 2008

Search based software testing of object-oriented containers.
Inf. Sci., 2008

An Experimental Study of Hybridizing Cultural Algorithms and Local Search.
Int. J. Neural Syst., 2008

Evolving edited k-Nearest Neighbor Classifiers.
Int. J. Neural Syst., 2008

A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design.
International Journal of Computational Intelligence and Applications, 2008

Theoretical foundations of evolutionary computation.
Genetic Programming and Evolvable Machines, 2008

Automatic feature-queried bird identification system based on entropy and fuzzy similarity.
Expert Syst. Appl., 2008

Assignment of cells to switches in a cellular mobile network using a hybrid Hopfield network-genetic algorithm approach.
Appl. Soft Comput., 2008

Optimal switch location in mobile communication networks using hybrid genetic algorithms.
Appl. Soft Comput., 2008

Attributes of Dynamic Combinatorial Optimisation.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Solving Very Difficult Japanese Puzzles with a Hybrid Evolutionary-Logic Algorithm.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Crossover Can Be Constructive When Computing Unique Input Output Sequences.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Multi-objective Improvement of Software Using Co-evolution and Smart Seeding.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Evolutionary Market Agents for Resource Allocation in Decentralised Systems.
Proceedings of the Parallel Problem Solving from Nature, 2008

Making a Difference to Differential Evolution.
Proceedings of the Advances in Metaheuristics for Hard Optimization, 2008

A Self-adaptive Evolutionary Programming Based on Optimum Search Direction.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

On-line bagging Negative Correlation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2008

Selective negative correlation learning algorithm for incremental learning.
Proceedings of the International Joint Conference on Neural Networks, 2008

Search-Based Testing of Complex Simulink Models containing Stateflow Diagrams.
Proceedings of the First International Conference on Software Testing Verification and Validation, 2008

Handling Constraints for Search Based Software Test Data Generation.
Proceedings of the First International Conference on Software Testing Verification and Validation, 2008

Theoretical Runtime Analyses of Search Algorithms on the Test Data Generation for the Triangle Classification Problem.
Proceedings of the First International Conference on Software Testing Verification and Validation, 2008

Evolution of Neural Organization in a Hydra-Like Animat.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

A Comparison of GAs Penalizing Infeasible Solutions and Repairing Infeasible Solutions on the 0-1 Knapsack Problem.
Proceedings of the Theory of Evolutionary Algorithms, 27.01. - 01.02.2008, 2008

An immigrants scheme based on environmental information for genetic algorithms in changing environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Multilevel cooperative coevolution for large scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Self-adaptive differential evolution with neighborhood search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

A multi-objective approach to testing resource allocation in modular software systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Toward a gene regulatory network model for evolving chemotaxis behavior.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Analysis of population-based evolutionary algorithms for the vertex cover problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Direction matters in high-dimensional optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

An effective evolutionary algorithm for discrete-valued data clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

A novel co-evolutionary approach to automatic software bug fixing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Evolving Functional Symmetry in a Three Dimensional Model of an Elongated Organism.
Proceedings of the Artificial Life XI: Proceedingshe of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007
A Gradient-Based Forward Greedy Algorithm for Space Gaussian Process Regression.
Proceedings of the Trends in Neural Computation, 2007

Robust Salting Route Optimization Using Evolutionary Algorithms.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

Evolutionary Design of Digital Filters With Application to Subband Coding and Data Transmission.
IEEE Trans. Signal Processing, 2007

A Memetic Algorithm for VLSI Floorplanning.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2007

In Memoriam: Dr. Lawrence J. Fogel.
IEEE Trans. Evolutionary Computation, 2007

Multiple Choices and Reputation in Multiagent Interactions.
IEEE Trans. Evolutionary Computation, 2007

Teaching Advanced Features of Evolutionary Algorithms Using Japanese Puzzles.
IEEE Trans. Education, 2007

A Note on Problem Difficulty Measures in Black-Box Optimization: Classification, Realizations and Predictability.
Evolutionary Computation, 2007

Special Issue on Evolutionary Learning and Optimisation.
Connect. Sci., 2007

A novel and practicable on-chip adaptive lossless image compression scheme using intrinsic evolvable hardware.
Connect. Sci., 2007

A wavelet-based data pre-processing analysis approach in mass spectrometry.
Comp. in Bio. and Med., 2007

Coevolving programs and unit tests from their specification.
Proceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2007), 2007

Using a Genetic Algorithm for Editing k-Nearest Neighbor Classifiers.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Evolutionary Ensemble for In Silico Prediction of Ames Test Mutagenicity.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

Solving Japanese Puzzles with Heuristics.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007

Target shape design optimization by evolving splines.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Differential evolution for high-dimensional function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Estimation of distribution algorithms for testing object oriented software.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

How well do multi-objective evolutionary algorithms scale to large problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Evolutionary algorithms and the Vertex Cover problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Runtime analysis of (1+l) EA on computing unique input output sequences.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Hybridisation of evolutionary programming and machine learning with k-nearest neighbor estimation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Covariance matrix repairing in Gaussian based EDAs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Evolutionary random neural ensembles based on negative correlation learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

On the analysis of average time complexity of estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A Memetic Algorithm for test data generation of Object-Oriented software.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

The Iterated Prisoners' Dilemma - 20 Years On
Advances in Natural Computation 4, World Scientific, ISBN: 978-981-4475-37-2, 2007

2006
Trade-Off Between Diversity and Accuracy in Ensemble Generation.
Proceedings of the Multi-Objective Machine Learning, 2006

An evolutionary clustering algorithm for gene expression microarray data analysis.
IEEE Trans. Evolutionary Computation, 2006

An analysis of diversity measures.
Machine Learning, 2006

An extended contract net mechanism for dynamic supply chain formation and its application in China petroleum supply chain management.
Multiagent and Grid Systems, 2006

Ensemble Learning Using Multi-Objective Evolutionary Algorithms.
J. Math. Model. Algorithms, 2006

Recent Advances in Evolutionary Computation.
J. Comput. Sci. Technol., 2006

Evolving hybrid ensembles of learning machines for better generalisation.
Neurocomputing, 2006

Multi-network evolutionary systems and automatic decomposition of complex problems.
Int. J. General Systems, 2006

Current developments and future directions of bio-inspired computation and implications for ecoinformatics.
Ecological Informatics, 2006

Hybrid meta-heuristics algorithms for task assignment in heterogeneous computing systems.
Computers & OR, 2006

Gene selection algorithms for microarray data based on least squares support vector machine.
BMC Bioinformatics, 2006

A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Hybridisation of Particle Swarm Optimization and Fast Evolutionary Programming.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Towards Intrinsic Evolvable Hardware for Predictive Lossless Image Compression.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Environments Conducive to Evolution of Modularity.
Proceedings of the Parallel Problem Solving from Nature, 2006

Greedy forward selection algorithms to Sparse Gaussian Process Regression.
Proceedings of the International Joint Conference on Neural Networks, 2006

Hybridizing Cultural Algorithms and Local Search.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Make Fast Evolutionary Programming Robust by Search Step Control.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Boosting Kernel Models for Regression.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

A Probabilistic Ensemble Pruning Algorithm.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Efficient Forward Regression with Marginal Likelihood.
Proceedings of the ESANN 2006, 2006

Diversity creation in local search for the evolution of neural network ensembles.
Proceedings of the ESANN 2006, 2006

A New Multi-objective Evolutionary Optimisation Algorithm: The Two-Archive Algorithm.
Proceedings of the Computational Intelligence and Security, International Conference, 2006

Self-Adapting Payoff Matrices in Repeated Interactions.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence and Games (CIG06), 2006

Extracting a Set of Robust Pareto-Optimal Parameters for Hydrologic Models using NSGA-II and SCEM.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Evolving Neural Network Ensembles by Fitness Sharing.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Analysis of Scalable Parallel Evolutionary Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Robust Solution of Salting Route Optimisation Using Evolutionary Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Speciation Techniques in Evolved Ensembles with Negative Correlation Learning.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Evolutionary Multiobjective Ensemble Learning Based on Bayesian Feature Selection.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Search biases in constrained evolutionary optimization.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2005

Clustering and learning Gaussian distribution for continuous optimization.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2005

A comparative study of three evolutionary algorithms incorporating different amounts of domain knowledge for node covering problem.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2005

Multi-scale statistical process monitoring in machining.
IEEE Trans. Industrial Electronics, 2005

Behavioral diversity, choices and noise in the iterated prisoner's dilemma.
IEEE Trans. Evolutionary Computation, 2005

Experimental study on population-based incremental learning algorithms for dynamic optimization problems.
Soft Comput., 2005

Linear dimensionality reduction using relevance weighted LDA.
Pattern Recognition, 2005

Diversity creation methods: a survey and categorisation.
Information Fusion, 2005

Metaheuristic Approaches to Traffic Grooming in Wdm Optical Networks.
International Journal of Computational Intelligence and Applications, 2005

Editorial.
International Journal of Computational Intelligence and Applications, 2005

Meta-Heuristic Algorithms for FPGA Segmented Channel Routing Problems with Non-standard Cost Functions.
Genetic Programming and Evolvable Machines, 2005

A Game-Theoretic Approach for Designing Mixed Mutation Strategies.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Application of Fuzzy Similarity to Prediction of Epileptic Seizures Using EEG Signals.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

Evolutionary framework for the construction of diverse hybrid ensembles.
Proceedings of the ESANN 2005, 2005

Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

Cost-sensitive classification with genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Co-evolutionary modular neural networks for automatic problem decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Dynamic salting route optimisation using evolutionary computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
A hybrid Hopfield network-genetic algorithm approach for the terminal assignment problem.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2004

Evolutionary programming using mutations based on the Levy probability distribution.
IEEE Trans. Evolutionary Computation, 2004

Digital filter design using multiple pareto fronts.
Soft Comput., 2004

A study of drift analysis for estimating computation time of evolutionary algorithms.
Natural Computing, 2004

Time Complexity Analysis of an Evolutionary Algorithm for Finding Nearly Maximum Cardinality Matching.
J. Comput. Sci. Technol., 2004

Evolving Neural Network Ensembles by Minimization of Mutual Information.
Int. J. Hybrid Intell. Syst., 2004

An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies.
Proceedings of the Parallel Problem Solving from Nature, 2004

Credit Assignment Among Neurons in Co-evolving Populations.
Proceedings of the Parallel Problem Solving from Nature, 2004

An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

DIVACE: Diverse and Accurate Ensemble Learning Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Nonlinear Feature Extraction Using Evolutionary Algorithm.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

A novel memetic algorithm with random multi-local-search: a case study of TSP.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

How powerful is your evolutionary, algorithm?
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Non-standard cost terminal assignment problems using tabu search approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Parallel evolutionary programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Generalized LDA using relevance weighting and evolution strategy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

To understand one-dimensional continuous fitness landscapes by drift analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

The impact of noise on iterated prisoner's dilemma with multiple levels of cooperation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Materialized view selection as constrained evolutionary optimization.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2003

A constructive algorithm for training cooperative neural network ensembles.
IEEE Trans. Neural Networks, 2003

A novel evolutionary data mining algorithm with applications to churn prediction.
IEEE Trans. Evolutionary Computation, 2003

Towards an analytic framework for analysing the computation time of evolutionary algorithms.
Artif. Intell., 2003

Optimisation and Learning in Neural Network Learning.
Proceedings of the IASTED International Conference on Modelling, Simulation and Optimization, 2003

The Evolution of Evolutionary Computation.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Adaptive Divide-and-Conquer Using Populations and Ensembles.
Proceedings of the 2003 International Conference on Machine Learning and Applications, 2003

Using Negative Correlation to Evolve Fault-Tolerant Circuits.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2003

Performance Scaling of Multi-objective Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

2002
From an individual to a population: an analysis of the first hitting time of population-based evolutionary algorithms.
IEEE Trans. Evolutionary Computation, 2002

Co-Evolution in Iterated Prisoner's Dilemma with Intermediate Levels of Cooperation: Application to Missile Defense.
International Journal of Computational Intelligence and Applications, 2002

A new evolutionary approach to cutting stock problems with and without contiguity.
Computers & OR, 2002

Erratum to: Drift analysis and average time complexity of evolutionary algorithms [Artificial Intelligence 127 (2001) 57-85].
Artif. Intell., 2002

Learning and Evolution by Minimization of Mutual Information.
Proceedings of the Parallel Problem Solving from Nature, 2002

Evolving SQL Queries for Data Mining.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

Maintaining Population Diversity By Minimizing Mutual Information.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Search Step Size Control In Fast Evolutionary Programming.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Getting Most Out of Evolutionary Approaches.
Proceedings of the 4th NASA / DoD Workshop on Evolvable Hardware (EH 2002), 2002

2001
An evolutionary approach to materialized views selection in a data warehouse environment.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2001

Simulated Evolution and Learning: An Introduction.
Appl. Intell., 2001

Adapting Self-Adaptive Parameters in Evolutionary Algorithms.
Appl. Intell., 2001

Drift analysis and average time complexity of evolutionary algorithms.
Artif. Intell., 2001

Evolutionary Design Calibration.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2001

Digital Filter Design Using Multiple Pareto Fronts.
Proceedings of the 3rd NASA / DoD Workshop on Evolvable Hardware (EH 2001), 2001

2000
Stochastic ranking for constrained evolutionary optimization.
IEEE Trans. Evolutionary Computation, 2000

Evolutionary ensembles with negative correlation learning.
IEEE Trans. Evolutionary Computation, 2000

Solving equations by hybrid evolutionary computation techniques.
IEEE Trans. Evolutionary Computation, 2000

The Impact of Payoff Function and Local Interaction on the N -Player Iterated Prisoner's Dilemma.
Knowl. Inf. Syst., 2000

Editorial: Simulated Evolution and Learning.
JACIII, 2000

Application of Genetic Algorithm and K-Nearest Neighbour Method in Real World Medical Fraud Detection Problem.
JACIII, 2000

1999
Promises and challenges of evolvable hardware.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 1999

Simultaneous training of negatively correlated neural networks in an ensemble.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1999

Evolutionary programming made faster.
IEEE Trans. Evolutionary Computation, 1999

The GRD Chip: Genetic Reconfiguration of DSPs for Neural Network Processing.
IEEE Trans. Computers, 1999

Ensemble learning via negative correlation.
Neural Networks, 1999

Evolutionary computation comes of age.
Cognitive Systems Research, 1999

Following the Path of Evolvable Hardware - Introduction.
Commun. ACM, 1999

1998
Making use of population information in evolutionary artificial neural networks.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1998

Maximum Matching on Boltzmann Machines.
Neural Processing Letters, 1998

A Novel Penalty Function Approach to Constrained Optimization Problems with Genetic Algorithms.
JACIII, 1998

Introduction: Evolutionary Learning.
Appl. Intell., 1998

Time Series Prediction by Using Negatively Correlated Neural Networks.
Proceedings of the Simulated Evolution and Learning, 1998

Dynamic Control of Adaptive Parameters in Evolutionary Programming.
Proceedings of the Simulated Evolution and Learning, 1998

Application of Genetic Algorithm and k-Nearest Neighbour Method in Medical Fraud Detection.
Proceedings of the Simulated Evolution and Learning, 1998

Towards Designing Neural Network Ensembles by Evolution.
Proceedings of the Parallel Problem Solving from Nature, 1998

Scaling Up Evolutionary Programming Algorithms.
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

Solving Cutting Stock Problems by Evolutionary Programming.
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

An Experimental Investigation of Self-Adaptation in Evolutionary Programming.
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

1997
A new evolutionary system for evolving artificial neural networks.
IEEE Trans. Neural Networks, 1997

Speciation as automatic categorical modularization.
IEEE Trans. Evolutionary Computation, 1997

An Analysis of Evolutionary Algorithms Based on Neighborhood and Step Sizes.
Proceedings of the Evolutionary Programming VI, 6th International Conference, 1997

Fast Evolution Strategies.
Proceedings of the Evolutionary Programming VI, 6th International Conference, 1997

PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks.
Proceedings of the Evolutionary Programming VI, 6th International Conference, 1997

1996
EPNet for Chaotic Time-Series Prediction.
Proceedings of the Simulated Evolution and Learning, First Asia-Pacific Conference, 1996

Every Niching Method has its Niche: Fitness Sharing and Implicit Sharing Compared.
Proceedings of the Parallel Problem Solving from Nature, 1996

Promises and Challenges of Evolvable Hardware.
Proceedings of the Evolvable Systems: From Biology to Hardware, 1996

Ensemble Structure of Evolutionary Artificial Neural Networks.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Evolutionary Design of Artificial Neural Networks with Different Nodes.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Automatic Modularization by Speciation.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Fast Evolutionary Programming.
Evolutionary Programming, 1996

Evolving Artificial Neural Networks through Evolutionary Programming.
Evolutionary Programming, 1996

1995
A Note on Neural Sorting Networks with O(1) Time Complexity.
Inf. Process. Lett., 1995

Call Routing by Simulated Annealing.
IEA/AIE, 1995

1994
An Experimental Study of N-Person Iterated Prisoner's Dilemma Games.
Informatica (Slovenia), 1994

An Introduction to the Special Issue on Evolutionary Computation.
Informatica (Slovenia), 1994

An Experimental Study of N-Person Iterated Prisoner's Dilemma Games.
Proceedings of the Process in Evolutionary Computation, 1994

On Evolving Robust Strategies for Iterated Prisoner's Dilemma.
Proceedings of the Process in Evolutionary Computation, 1994

1993
An empirical study of genetic operators in genetic algorithms.
Microprocessing and Microprogramming, 1993

Evolutionary Artificial Neural Networks.
Int. J. Neural Syst., 1993

A review of evolutionary artificial neural networks.
Int. J. Intell. Syst., 1993

1992
Finding Approximate Solutions to NP-Hard Problems by Neural Networks is Hard.
Inf. Process. Lett., 1992


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