Ke Tang

According to our database1, Ke Tang authored at least 212 papers between 2006 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
QoS-Aware Web Service Selection with Internal Complementarity.
IEEE Trans. Services Computing, 2019

A Survey on Cooperative Co-Evolutionary Algorithms.
IEEE Trans. Evolutionary Computation, 2019

A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization.
IEEE Trans. Evolutionary Computation, 2019

An Adaptive Framework to Tune the Coordinate Systems in Nature-Inspired Optimization Algorithms.
IEEE Trans. Cybernetics, 2019

Evolutionary optimization with hierarchical surrogates.
Swarm and Evolutionary Computation, 2019

Preface.
Natural Computing, 2019

Negatively Correlated Search as a Parallel Exploration Search Strategy.
CoRR, 2019

AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks.
CoRR, 2019

Competitive Co-evolution for Dynamic Constrained Optimisation.
CoRR, 2019

DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding.
CoRR, 2019

Running Time Analysis of the (1+1)-EA for Robust Linear Optimization.
CoRR, 2019

Decision Making with Machine Learning and ROC Curves.
CoRR, 2019

Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions.
CoRR, 2019

Running Time Analysis of the ( $$1+1$$ 1 + 1 )-EA for OneMax and LeadingOnes Under Bit-Wise Noise.
Algorithmica, 2019

Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms.
Artif. Intell., 2019

A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization.
IEEE Access, 2019

Optimal Energy-Delay Scheduling for Energy Harvesting WSNs via Negatively Correlated Search.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Cooperative Co-evolution with Soft Grouping for Large Scale Global Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Unsupervised Feature Selection by Pareto Optimization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Turning High-Dimensional Optimization Into Computationally Expensive Optimization.
IEEE Trans. Evolutionary Computation, 2018

Constrained Monotone k-Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee.
IEEE Trans. Evolutionary Computation, 2018

Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective.
IEEE Trans. Evolutionary Computation, 2018

An Identification Method for Spring Maize in Northeast China Based on Spectral and Phenological Features.
Remote Sensing, 2018

Big Data Aided Vehicular Network Feature Analysis and Mobility Models Design.
MONET, 2018

Preselection via classification: A case study on evolutionary multiobjective optimization.
Inf. Sci., 2018

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.
Evolutionary Computation, 2018

Attributed Network Embedding for Incomplete Structure Information.
CoRR, 2018

Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization.
CoRR, 2018

Analysis of Noisy Evolutionary Optimization When Sampling Fails.
CoRR, 2018

Automatic Construction of Parallel Portfolios via Explicit Instance Grouping.
CoRR, 2018

Automatically discovering clusters of algorithm and problem instance behaviors as well as their causes from experimental data, algorithm setups, and instance features.
Appl. Soft Comput., 2018

The networked evolutionary algorithm: A network science perspective.
Applied Mathematics and Computation, 2018

A Fast Heuristic Path Computation Algorithm for the Batch Bandwidth Constrained Routing Problem in SDN.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Towards a Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes Under General Bit-Wise Noise.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Distributed Pareto Optimization for Subset Selection.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Sequence Selection by Pareto Optimization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Optimization based Layer-wise Magnitude-based Pruning for DNN Compression.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Generalization Bounds for Regularized Pairwise Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Dynamic Mutation Based Pareto Optimization for Subset Selection.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Improved Running Time Analysis of the (1+1)-ES on the Sphere Function.
Proceedings of the Intelligent Computing Theories and Application, 2018

On Multiset Selection With Size Constraints.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Quality-Sensitive Method for Learning from Crowds.
IEEE Trans. Knowl. Data Eng., 2017

Simultaneous Optimization of Airspace Congestion and Flight Delay in Air Traffic Network Flow Management.
IEEE Trans. Intelligent Transportation Systems, 2017

A Scalable Approach to Capacitated Arc Routing Problems Based on Hierarchical Decomposition.
IEEE Trans. Cybernetics, 2017

An evolutionary approach for dynamic single-runway arrival sequencing and scheduling problem.
Soft Comput., 2017

Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104].
Inf. Sci., 2017

Entropy Conditions Involved in the Nonlinear Coupled Constitutive Method for Solving Continuum and Rarefied Gas Flows.
Entropy, 2017

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

Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes under Bit-wise Noise.
CoRR, 2017

Concept Drift Adaptation by Exploiting Historical Knowledge.
CoRR, 2017

An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms.
CoRR, 2017

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

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

Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes].
IEEE Comp. Int. Mag., 2017

Computational Intelligence in Aerospace Science and Engineering [Guest Editorial].
IEEE Comp. Int. Mag., 2017

Search Based Software Engineering [Guest Editorial].
IEEE Comp. Int. Mag., 2017

Memetic algorithm with route decomposing for periodic capacitated arc routing problem.
Appl. Soft Comput., 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

Subset Selection under Noise.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Selective Transfer Learning Method for Concept Drift Adaptation.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Optimizing Ratio of Monotone Set Functions.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

On Subset Selection with General Cost Constraints.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

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

Sequence searching and evaluation: a unified approach for aircraft arrival sequencing and scheduling problems.
Memetic Computing, 2016

Convex hull-based multi-objective evolutionary computation for maximizing receiver operating characteristics performance.
Memetic Computing, 2016

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

Global versus local search: the impact of population sizes on evolutionary algorithm performance.
J. Global Optimization, 2016

Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms.
Inf. Sci., 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

Relief Impression Image Detection : Unsupervised Extracting Objects Directly From Feature Arrangements of Deep CNN.
CoRR, 2016

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

Analyzing Inter-objective Relationships: A Case Study of Software Upgradability.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization.
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

A trajectory-based approach for object detection from video.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A non-parametric approach for learning from crowds.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Parallel Pareto Optimization for Subset Selection.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A multi-modal optimization approach to single path planning for unmanned aerial vehicle.
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

Incremental Learning with Concept Drift: A Knowledge Transfer Perspective.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

2015
Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints.
IEEE Trans. Robotics, 2015

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

Collaborative Active and Semisupervised Learning for Hyperspectral Remote Sensing Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2015

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

History-Based Topological Speciation for Multimodal Optimization.
IEEE Trans. Evolutionary Computation, 2015

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

Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas.
IEEE Trans. Cybernetics, 2015

Designing benchmark problems for large-scale continuous optimization.
Inf. Sci., 2015

Editorial for the special issue of Information Sciences Journal (ISJ) on "Nature-inspired algorithms for large scale global optimization".
Inf. Sci., 2015

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

Negatively Correlated Cooperative Search.
CoRR, 2015

Conformational sampling and structure prediction of multiple interacting loops in soluble and β-barrel membrane proteins using multi-loop distance-guided chain-growth Monte Carlo method.
Bioinformatics, 2015

Active Learning from Crowds with Unsure Option.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

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

A Multimodal Optimization and Surprise Based Consensus Community Detection Algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Evolutionary semi-supervised ordinal regression using weighted kernel Fisher discriminant analysis.
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

Local ensemble surrogate assisted crowding differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A new Evolutionary multi-objective algorithm for Convex Hull Maximization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Frequency Fitness Assignment.
IEEE Trans. Evolutionary Computation, 2014

Fast Protein Loop Sampling and Structure Prediction Using Distance-Guided Sequential Chain-Growth Monte Carlo Method.
PLoS Computational Biology, 2014

Design of Modulation and Packet Detection in Body Area Networks.
JCP, 2014

Population-based Algorithm Portfolios with automated constituent algorithms selection.
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

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

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

Online coherency analysis of synchronous generators in a power system.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

ArchRanker: A ranking approach to design space exploration.
Proceedings of the ACM/IEEE 41st International Symposium on Computer Architecture, 2014

Finding convex hull vertices in metric space.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Estimation of Distribution Algorithms based Unmanned Aerial Vehicle path planner using a new coordinate system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

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

Self-adaptive differential evolution with local search chains for real-parameter single-objective optimization.
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

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

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

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

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

A fast malware detection algorithm based on objective-oriented association mining.
Computers & Security, 2013

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

Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Gradient Boosting-Based Negative Correlation Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Semi-supervised Ranking via List-Wise Approach.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Scaling Up Covariance Matrix Adaptation Evolution Strategy Using Cooperative Coevolution.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Malware detection based on objective-oriented association mining.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

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

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

Combining Semi-Supervised and active learning for hyperspectral image classification.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

Impact of problem decomposition on Cooperative Coevolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

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

Evolving Distributed Algorithms With Genetic Programming.
IEEE Trans. Evolutionary Computation, 2012

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

Evolutionary Optimization: Pitfalls and Booby Traps.
J. Comput. Sci. Technol., 2012

Classification- and Regression-Assisted Differential Evolution for Computationally Expensive Problems.
J. Comput. Sci. Technol., 2012

Feature selection for MAUC-oriented classification systems.
Neurocomputing, 2012

A Study on Scalable Representations for Evolutionary Optimization of Ground Structures.
Evolutionary Computation, 2012

An Empirical Study of MAUC in Multi-class Problems with Uncertain Cost Matrices
CoRR, 2012

Minimax Classifier for Uncertain Costs
CoRR, 2012

Using computational intelligence for large scale air route networks design.
Appl. Soft Comput., 2012

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

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

A developmental solution to (dynamic) capacitated arc routing problems using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

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

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

Feature selection and parameter optimization for support vector machines: A new approach based on genetic algorithm with feature chromosomes.
Expert Syst. Appl., 2011

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

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

Semi-supervised learning with extremely sparse labeled data on multiple semi-supervised assumptions.
Proceedings of the Third International Conference of Soft Computing and Pattern Recognition, 2011

Margin-Based Over-Sampling Method for Learning from Imbalanced Datasets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Cooperative Co-evolution with Weighted Random Grouping for Large-Scale Crossing Waypoints Locating in Air Route Network.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Alleviate the Hypervolume Degeneration Problem of NSGA-II.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Novel Loop Structures and the Evolution of Mathematical Algorithms.
Proceedings of the Genetic Programming - 14th European Conference, 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

Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 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

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

Guest editorial: Memetic Algorithms for Evolutionary Multi-Objective Optimization.
Memetic Computing, 2010

QoS-aware semantic web service composition for SOAs.
Proceedings of the IEEE International Conference on Service-Oriented Computing and Applications, 2010

Parallel Banding Algorithm to compute exact distance transform with the GPU.
Proceedings of the 2010 Symposium on Interactive 3D Graphics, 2010

Large-Scale Global Optimization Using Cooperative Coevolution with Variable Interaction Learning.
Proceedings of the Parallel Problem Solving from Nature, 2010

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

AOAB: automated optimization algorithm benchmarking.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Enhanced Maximum AUC Linear Classifier.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

Robust optimization over time - A new perspective on dynamic optimization problems.
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

Memetic algorithm with heuristic candidate list strategy for Capacitated Arc Routing Problem.
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

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

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

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

From nature to computing and back.
Frontiers Comput. Sci. China, 2009

Diversity exploration and negative correlation learning on imbalanced data sets.
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

Feature Selection for Maximizing the Area Under the ROC Curve.
Proceedings of the ICDM Workshops 2009, 2009

Statistical Analysis of Real Large-Scale Mobile Social Network.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 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

Multi-start JADE with knowledge transfer for numerical optimization.
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

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

A stochastic method for controlling the scaling parameters of Cauchy mutation in fast evolutionary programming.
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

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

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

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

Multi-Map Orbit Hopping Chaotic Cipher.
Proceedings of the 2008 International Conference on Security & Management, 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

A multi-objective evolutionary approach to aircraft landing scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Differential evolution for high-dimensional function optimization.
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

2006
Lekner summation for two-dimensional magnetic dipolar interaction energy.
Computer Physics Communications, 2006

A Chaotic Cipher Mmohocc and Its Security Analysis
CoRR, 2006

A Chaotic Cipher Mmohocc and Its Randomness Evaluation
CoRR, 2006

Multi-Map Orbit Hopping Chaotic Stream Cipher
CoRR, 2006


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