A fuzzy clustering-based niching approach to multimodal function optimization

Cognitive Systems Research

Volumn 1, Issue 2, 2000, Pages 119-133

  El Imrani, A ^a   Bouroumi, A ^a   Zine El Abidine, H ^a   Limouri, M ^a   Essaid A ^a  

^a FACULTÉ DES SCIENCES   (Morocco)

Author keywords

Fuzzy clustering; Genetic algorithms; Multimodal optimization; Self learning; Sharing

Indexed keywords

EID: 16644391687     PISSN: 13890417     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1389-0417(99)00013-3     Document Type: Article

References (4)

1. Bäck, T. (1996). Evolutionary algorithms in theory and practice, Oxford University Press, Oxford.
2. Beasley, D., Bull, D. R., & Martin, R. R. (1993a). A sequential niche technique for multimodal function optimization. Evolutionary Computation 1(2), 101-125.
3. Beasley, D., Bull, D. R., & Martin, R. R. (1993b). An overview of genetic algorithms, part 2: Research topics. University Computing 15(4), 170-181.
4. Watson, J. -P. (1999). A performance assessment of modern niching methods for parameter optimization problems. Proceedings of the genetic and evolutionary computation conference (GECCO), Morgan Kaufmann, San Francisco.