Shengxiang Yang

According to our database1, Shengxiang Yang authored at least 203 papers between 2000 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Global and Local Surrogate-Assisted Differential Evolution for Expensive Constrained Optimization Problems With Inequality Constraints.
IEEE Trans. Cybernetics, 2019

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

A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation.
IEEE Trans. Cybernetics, 2019

Ant Colony Stream Clustering: A Fast Density Clustering Algorithm for Dynamic Data Streams.
IEEE Trans. Cybernetics, 2019

A dynamic multiobjective evolutionary algorithm based on a dynamic evolutionary environment model.
Swarm and Evolutionary Computation, 2019

A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization.
Swarm and Evolutionary Computation, 2019

Biology migration algorithm: a new nature-inspired heuristic methodology for global optimization.
Soft Comput., 2019

A predictive strategy based on special points for evolutionary dynamic multi-objective optimization.
Soft Comput., 2019

Accelerating differential evolution based on a subset-to-subset survivor selection operator.
Soft Comput., 2019

An adaptation reference-point-based multiobjective evolutionary algorithm.
Inf. Sci., 2019

A framework for inducing artificial changes in optimization problems.
Inf. Sci., 2019

Hybrid of memory and prediction strategies for dynamic multiobjective optimization.
Inf. Sci., 2019

A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation.
Inf. Sci., 2019

Novel implementation of defence strategy of relay attack based on cloud in RFID systems.
IJICS, 2019

A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty.
Appl. Soft Comput., 2019

A Two-layer Optimization Management Method for the Microgrid with Electric Vehicles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Memory-based multi-population genetic learning for dynamic shortest path problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout.
IEEE Trans. Industrial Informatics, 2018

Multiline Distance Minimization: A Visualized Many-Objective Test Problem Suite.
IEEE Trans. Evolutionary Computation, 2018

Scalarizing Functions in Decomposition-Based Multiobjective Evolutionary Algorithms.
IEEE Trans. Evolutionary Computation, 2018

Multiobjective optimization of the production process for ground granulated blast furnace slags.
Soft Comput., 2018

Adaptive neighborhood selection for many-objective optimization problems.
Appl. Soft Comput., 2018

A many-objective evolutionary algorithm based on rotated grid.
Appl. Soft Comput., 2018

Hybrid meta-heuristic algorithms for independent job scheduling in grid computing.
Appl. Soft Comput., 2018

An Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Center-point Prediction and Sub-population Autonomous Guidance.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

A Performance Indicator for Reference-Point-Based Multiobjective Evolutionary Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Less detectable environmental changes in dynamic multiobjective optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

A Loosely Coupled Hybrid Meta-Heuristic Algorithm for the Static Independent Task Scheduling Problem in Grid Computing.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

An Empirical Study of Dynamic Triobjective Optimisation Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Ant Colony Optimization for Simulated Dynamic Multi-Objective Railway Junction Rescheduling.
IEEE Trans. Intelligent Transportation Systems, 2017

A Two-Phase Differential Evolution for Uniform Designs in Constrained Experimental Domains.
IEEE Trans. Evolutionary Computation, 2017

A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization.
IEEE Trans. Evolutionary Computation, 2017

A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization.
IEEE Trans. Evolutionary Computation, 2017

A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems.
IEEE Trans. Evolutionary Computation, 2017

Ant Colony Optimization With Local Search for Dynamic Traveling Salesman Problems.
IEEE Trans. Cybernetics, 2017

Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons.
IEEE Trans. Cybernetics, 2017

A survey of swarm intelligence for dynamic optimization: Algorithms and applications.
Swarm and Evolutionary Computation, 2017

Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes.
Soft Comput., 2017

A green intelligent routing algorithm supporting flexible QoS for many-to-many multicast.
Computer Networks, 2017

A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization.
Appl. Soft Comput., 2017

The effect of diversity maintenance on prediction in dynamic multi-objective optimization.
Appl. Soft Comput., 2017

Pheromone modification strategy for the dynamic travelling salesman problem with weight changes.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A proportion-based selection scheme for multi-objective optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Robustness and Evolutionary Dynamic Optimisation of Airport Security Schedules.
Proceedings of the Recent Advances in Soft Computing, 2017

Meta-Heuristically Seeded Genetic Algorithm for Independent Job Scheduling in Grid Computing.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Pre-scheduled Colony Size Variation in Dynamic Environments.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Finding Multi-Density Clusters in non-stationary data streams using an Ant Colony with adaptive parameters.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Pareto or Non-Pareto: Bi-Criterion Evolution in Multiobjective Optimization.
IEEE Trans. Evolutionary Computation, 2016

An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima.
IEEE Trans. Evolutionary Computation, 2016

An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts.
IEEE Trans. Cybernetics, 2016

Ant colony optimization with immigrants schemes for the dynamic railway junction rescheduling problem with multiple delays.
Soft Comput., 2016

Improving the JADE algorithm by clustering successful parameters.
IJWMC, 2016

A clique-based online algorithm for constructing optical orthogonal codes.
Appl. Soft Comput., 2016

Dynamic Stream Clustering Using Ants.
Proceedings of the Advances in Computational Intelligence Systems, 2016

On the use of hypervolume for diversity measurement of Pareto front approximations.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Railway platform reallocation after dynamic perturbations using ant colony optimisation.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Evolutionary dynamic optimisation of airport security lane schedules.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Convergence Versus Diversity in Multiobjective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Direct Memory Schemes for Population-Based Incremental Learning in Cyclically Changing Environments.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Empirical study on the effect of population size on MAX-MIN ant system in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Differential evolution with a two-stage optimization mechanism for numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A comparative study of constraint-handling techniques in evolutionary constrained multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

An adaptive penalty-based boundary intersection approach for multiobjective evolutionary algorithm based on decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

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

Training neural networks with ant colony optimization algorithms for pattern classification.
Soft Comput., 2015

Ant algorithms with immigrants schemes for the dynamic vehicle routing problem.
Inf. Sci., 2015

Multi-population methods in unconstrained continuous dynamic environments: The challenges.
Inf. Sci., 2015

Bi-goal evolution for many-objective optimization problems.
Artif. Intell., 2015

Towards Knowledge Driven Decision Support for Personalized Home-Based Self-Management of Chronic Diseases.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Population-Based Incremental Learning with Immigrants Schemes in Changing Environments.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Evolutionary Computation for Dynamic Optimization Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

An Ant Colony Optimization Based Memetic Algorithm for the Dynamic Travelling Salesman Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Performance Comparison Indicator for Pareto Front Approximations in Many-Objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Applying Ant Colony Optimization to Dynamic Binary-Encoded Problems.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

An adaptive local search algorithm for real-valued dynamic optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization.
IEEE Trans. Evolutionary Computation, 2014

Evolutionary Algorithms With Segment-Based Search for Multiobjective Optimization Problems.
IEEE Trans. Cybernetics, 2014

Diversity Comparison of Pareto Front Approximations in Many-Objective Optimization.
IEEE Trans. Cybernetics, 2014

Multifurnace Optimization in Electric Smelting Plants by Load Scheduling and Control.
IEEE Trans. Automation Science and Engineering, 2014

Analysis of fitness landscape modifications in evolutionary dynamic optimization.
Inf. Sci., 2014

ETEA: A Euclidean Minimum Spanning Tree-Based Evolutionary Algorithm for Multi-Objective Optimization.
Evolutionary Computation, 2014

An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems.
Evolutionary Computation, 2014

A benchmark generator for dynamic multi-objective optimization problems.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

Dynamic railway junction rescheduling using population based ant colony optimisation.
Proceedings of the 14th UK Workshop on Computational Intelligence, 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

Ant colony optimization with self-adaptive evaporation rate in dynamic environments.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014

A framework of scalable dynamic test problems for dynamic multi-objective optimization.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014

Elitism-based immigrants for ant colony optimization in dynamic environments: Adapting the replacement rate.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A test problem for visual investigation of high-dimensional multi-objective search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Dynamic Vehicle Routing: A Memetic Ant Colony Optimization Approach.
Proceedings of the Automated Scheduling and Planning - From Theory to Practice, 2013

Dynamic Optimization Using Analytic and Evolutionary Approaches: A Comparative Review.
Proceedings of the Handbook of Optimization - From Classical to Modern Approach, 2013

A Grid-Based Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evolutionary Computation, 2013

Fourth party logistics routing problem model with fuzzy duration time and cost discount.
Knowl.-Based Syst., 2013

Dynamic genetic algorithms for the dynamic load balanced clustering problem in mobile ad hoc networks.
Expert Syst. Appl., 2013

Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors.
Appl. Soft Comput., 2013

A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing.
Appl. Soft Comput., 2013

Evolving neural networks using ant colony optimization with pheromone trail limits.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Evolutionary computation for dynamic optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Adapting the Pheromone Evaporation Rate in Dynamic Routing Problems.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

IPESA-II: Improved Pareto Envelope-Based Selection Algorithm II.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

A Comparative Study on Evolutionary Algorithms for Many-Objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

A multiobjective particle swarm optimization algorithm for load scheduling in electric smelting furnaces.
Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013

Genetic algorithms with adaptive immigrants for dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
A Self-Learning Particle Swarm Optimizer for Global Optimization Problems.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2012

A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments.
IEEE Trans. Evolutionary Computation, 2012

Evolutionary dynamic optimization: A survey of the state of the art.
Swarm and Evolutionary Computation, 2012

A memetic particle swarm optimization algorithm for multimodal optimization problems.
Inf. Sci., 2012

Force-imitated particle swarm optimization using the near-neighbor effect for locating multiple optima.
Inf. Sci., 2012

A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems.
Int. J. Systems Science, 2012

Immigrants-Enhanced Multi-Population Genetic Algorithms for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks.
Applied Artificial Intelligence, 2012

Hyper-mutation Based Genetic Algorithms for Dynamic Multicast Routing Problem in Mobile Ad Hoc Networks.
Proceedings of the 11th IEEE International Conference on Trust, 2012

A Hybrid Approach to Piecewise Modelling of Biochemical Systems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

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

Ant Colony Optimization with Immigrants Schemes for the Dynamic Vehicle Routing Problem.
Proceedings of the Applications of Evolutionary Computation, 2012

Ant colony optimization with memory-based immigrants for the dynamic vehicle routing problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Maintaining diversity by clustering in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Improved genetic algorithm for magnetic material two-stage multi-product production scheduling: A case study.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Genetic Algorithms With Guided and Local Search Strategies for University Course Timetabling.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2011

Use of the q-Gaussian mutation in evolutionary algorithms.
Soft Comput., 2011

Environment identification-based memory scheme for estimation of distribution algorithms in dynamic environments.
Soft Comput., 2011

A memetic ant colony optimization algorithm for the dynamic travelling salesman problem.
Soft Comput., 2011

A hybrid genetic algorithm and tabu search approach for post enrolment course timetabling.
J. Scheduling, 2011

Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems.
Int. J. Hybrid Intell. Syst., 2011

Joint QoS multicast routing and channel assignment in multiradio multichannel wireless mesh networks using intelligent computational methods.
Appl. Soft Comput., 2011

A hybrid evolutionary multiobjective approach for the dynamic component selection problem.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

Memory-Based Immigrants for Ant Colony Optimization in Changing Environments.
Proceedings of the Applications of Evolutionary Computation, 2011

A Guided Search Non-dominated Sorting Genetic Algorithm for the Multi-Objective University Course Timetabling Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

Genetic algorithms with elitism-based immigrants for dynamic load balanced clustering problem in mobile ad hoc networks.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2011

An Immigrants Scheme Based on Environmental Information for Ant Colony Optimization for the Dynamic Travelling Salesman Problem.
Proceedings of the Artificial Evolution, 2011

2010
Genetic Algorithms With Immigrants and Memory Schemes for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2010

Particle Swarm Optimization With Composite Particles in Dynamic Environments.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2010

A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments.
IEEE Trans. Evolutionary Computation, 2010

An improved constraint satisfaction adaptive neural network for job-shop scheduling.
J. Scheduling, 2010

A particle swarm optimization based memetic algorithm for dynamic optimization problems.
Natural Computing, 2010

Guest editorial: Memetic Computing in the presence of uncertainties.
Memetic Computing, 2010

QoS multicast tree construction in IP/DWDM optical internet by bio-inspired algorithms.
J. Network and Computer Applications, 2010

Genetic algorithms with immigrants schemes for dynamic multicast problems in mobile ad hoc networks.
Eng. Appl. of AI, 2010

Evolution Strategies with q-Gaussian Mutation for Dynamic Optimization Problems.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System.
Proceedings of the Parallel Problem Solving from Nature, 2010

Ant Colony Optimization with Immigrants Schemes in Dynamic Environments.
Proceedings of the Parallel Problem Solving from Nature, 2010

A Directed Mutation Operator for Real Coded Genetic Algorithms.
Proceedings of the Applications of Evolutionary Computation, 2010

Multi-population Genetic Algorithms with Immigrants Scheme for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks.
Proceedings of the Applications of Evolutionary Computation, 2010

Adaptive learning particle swarm optimizer-II for global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A hybrid genetic algorithm and inver over approach for the travelling salesman problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Stability-aware multi-metric clustering in mobile ad hoc networks with group mobility.
Wireless Communications and Mobile Computing, 2009

Adaptive Primal-Dual Genetic Algorithms in Dynamic Environments.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems.
Soft Comput., 2009

Learning behavior in abstract memory schemes for dynamic optimization problems.
Soft Comput., 2009

A multipopulation parallel genetic simulated annealing-based QoS routing and wavelength assignment integration algorithm for multicast in optical networks.
Appl. Soft Comput., 2009

Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Tabu Search.
Proceedings of the Fifth International Conference on Natural Computation, 2009

An Immune System Based Genetic Algorithm Using Permutation-Based Dualism for Dynamic Traveling Salesman Problems.
Proceedings of the Applications of Evolutionary Computing, 2009

Hyper-learning for population-based incremental learning in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A clustering particle swarm optimizer for dynamic optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

An adaptive learning particle swarm optimizer for function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Genetic algorithms with elitism-based immigrants for dynamic shortest path problem in mobile ad hoc networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

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

Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments.
Evolutionary Computation, 2008

A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

An Island Based Hybrid Evolutionary Algorithm for Optimization.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Simulated Annealing.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Particle Filter with Swarm Move for Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2008

A Review of Personal Communications Services.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008

A Memetic Algorithm for the University Course Timetabling Problem.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Learning in Abstract Memory Schemes for Dynamic Optimization.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Fast Multi-Swarm Optimization for Dynamic Optimization Problems.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Memory Based on Abstraction for Dynamic Fitness Functions.
Proceedings of the Applications of Evolutionary Computing, 2008

Compound Particle Swarm Optimization in Dynamic Environments.
Proceedings of the Applications of Evolutionary Computing, 2008

Hyper-selection in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

A multi-agent based evolutionary algorithm in non-stationary environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Evolutionary programming with q-Gaussian mutation for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

A self-organizing random immigrants genetic algorithm for dynamic optimization problems.
Genetic Programming and Evolvable Machines, 2007

Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems.
Proceedings of the Applications of Evolutinary Computing, 2007

Triggered Memory-Based Swarm Optimization in Dynamic Environments.
Proceedings of the Applications of Evolutinary Computing, 2007

Continuous dynamic problem generators for evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Self-adaptation of mutation distribution in evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Editorial to special issue on evolutionary computation in dynamic and uncertain environments.
Genetic Programming and Evolvable Machines, 2006

Adaptive mutation with fitness and allele distribution correlation for genetic algorithms.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach.
Proceedings of the International Joint Conference on Neural Networks, 2006

A comparative study of immune system based genetic algorithms in dynamic environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Dominance learning in diploid genetic algorithms for dynamic optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Associative Memory Scheme for Genetic Algorithms in Dynamic Environments.
Proceedings of the Applications of Evolutionary Computing, 2006

On the Design of Diploid Genetic Algorithms for Problem Optimization in Dynamic Environments.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

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

An Improved Adaptive Neural Network for Job-Shop Scheduling.
Proceedings of the IEEE International Conference on Systems, 2005

Evolutionary algorithms for dynamic optimization problems: workshop preface.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Memory-based immigrants for genetic algorithms in dynamic environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Population-based incremental learning with memory scheme for changing environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Genetic algorithms with self-organized criticality for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Constructing dynamic test environments for genetic algorithms based on problem difficulty.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Adaptive Mutation Using Statistics Mechanism for Genetic Algorithms.
Proceedings of the Research and Development in Intelligent Systems XX, 2003

PDGA: the Primal-Dual Genetic Algorithm.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Statistics-Based Adaptive Non-uniform Mutation for Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation, 2003

2002
Adaptive Non-Uniform Mutation Based on Statistics for Genetic Algorithms.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002

Adaptive Non-uniform Crossover Based On Statistics For Genetic Algorithms.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2001
A new adaptive neural network and heuristics hybrid approach for job-shop scheduling.
Computers & OR, 2001

2000
Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling.
IEEE Trans. Neural Netw. Learning Syst., 2000


  Loading...