Adaptively choosing neighbourhood bests using species in a particle swarm optimizer for multimodal function optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3102, Issue , 2004, Pages 105-116

  Li, Xiaodong ^a  

^a RMIT UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY ALGORITHMS; OPTIMIZATION;

ITERATION STEP; MULTI-MODAL OPTIMIZATION; MULTIMODAL FITNESS LANDSCAPES; MULTIMODAL FUNCTION OPTIMIZATION; MULTIMODAL OPTIMIZATION PROBLEMS; PARTICLE SWARM OPTIMIZERS; SPECIES GROUPS; SUCCESSIVE ITERATION;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 35048898017     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24854-5_10     Document Type: Article

References (10)

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9. Li, J.P., Balazs, M.E., Parks, G. and Clarkson, P.J.: A Species Conserving Genetic Algorithm for Multimodal Function Optimization. Evolutionary Computation 10(3): 207-234 (2002)
10. Parsopoulos, K. E. and Vrahatis, M. N.: Modification of the particle swarm optimizer for locating all the global minima. In: Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA 2001), Prague, Czech Republic. (2001) 324-327