Matching algorithms to problems: an experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator
Top Cited Papers
- 27 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
A multimodal problem generator was used to test three versions of a genetic algorithm and the binary particle swarm algorithm in a factorial time-series experiment. Specific strengths and weaknesses of the various algorithms were identified.Keywords
This publication has 3 references indexed in Scilit:
- Particle swarm optimizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- The particle swarm: social adaptation of knowledgePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A discrete binary version of the particle swarm algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002