Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
An investigation of niche and species formation in genetic function optimization
Proceedings of the third international conference on Genetic algorithms
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
An introduction to differential evolution
New ideas in optimization
A species conserving genetic algorithm for multimodal function optimization
Evolutionary Computation
Finding Multimodal Solutions Using Restricted Tournament Selection
Proceedings of the 6th International Conference on Genetic Algorithms
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Adaptively choosing niching parameters in a PSO
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Self-adaptive multimethod search for global optimization in real-parameter spaces
IEEE Transactions on Evolutionary Computation
Random search with species conservation for multimodal functions
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Fringe-pattern demodulation using a parametric method based on differential evolution
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
Information Sciences: an International Journal
Differential evolution for a constrained combinatorial optimisation problem
International Journal of Metaheuristics
Effect of spatial locality on an evolutionary algorithm for multimodal optimization
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
Multimodal optimization using a bi-objective evolutionary algorithm
Evolutionary Computation
Niching particle swarm optimization with local search for multi-modal optimization
Information Sciences: an International Journal
Evolutionary multimodal optimization using the principle of locality
Information Sciences: an International Journal
DE/isolated/1: a new mutation operator for multimodal optimization with differential evolution
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Ensemble of clearing differential evolution for multi-modal optimization
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
A selective teaching-learning based niching technique with local diversification strategy
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Clustered parent centric normal cross-over for multimodal optimization
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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In this paper differential evolution is extended by using the notion of speciation for solving multimodal optimization problems. The proposed species-based DE (SDE) is able to locate multiple global optima simultaneously through adaptive formation of multiple species (or subpopulations) in an DE population at each iteration step. Each species functions as an DE by itself. Successive local improvements through species formation can eventually transform into global improvements in identifying multiple global optima. In this study the performance of SDE is compared with another recently proposed DE variant CrowdingDE. The computational complexity of SDE, the effect of population size and species radius on SDE are investigated. SDE is found to be more computationally efficient than CrowdingDE over a number of benchmark multimodal test functions.