Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
A species conserving genetic algorithm for multimodal function optimization
Evolutionary Computation
Multi-Species Particle Swarm Optimizer for Multimodal Function Optimization
IEICE - Transactions on Information and Systems
Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Niching without niching parameters: particle swarm optimization using a ring topology
IEEE Transactions on Evolutionary Computation
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
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Niching is an important technique for mutlimodal optimization This paper proposed an improved niching technique based on particle swarm optimizer to locate multiple optima In the proposed algorithm, the algorithm inspired from natural ecosystem form niches automatically without any prespecified problem dependent parameters Experiment results demonstrated that the proposed niching method is superior to the classic niching methods which are with or without niching parameters.