Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Evaluating evolutionary algorithms
Artificial Intelligence - Special volume on empirical methods
Swarm intelligence
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
Diversity-Guided Evolutionary Algorithms
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Population Diversity and Fitness Measures Based on Genomic Distances
Population Diversity and Fitness Measures Based on Genomic Distances
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Particle swarm optimisation with spatial particle extension
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
Ectropy of diversity measures for populations in Euclidean space
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
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This paper presents a diversity enhanced particle swarm optimizer (DivEnh-PSO) which uses an external memory to enhance the diversity of the swarm and to discourage premature convergence. The external memory holds selected past solutions with good diversity. Selected past solutions are periodically injected into the swarm. This approach does not require additional function evaluations as past solutions are used to enhance diversity. Experiments were conducted on multimodal and composition test problems with and without coordinate rotations. The test results indicate improved performance of the DivEnh-PSO in solving multimodal problems when compared with the same PSO implementation without diversity enhancement.