Title :
Matching algorithms to problems: an experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator
Author :
Kennedy, James ; Spears, William M.
Author_Institution :
Bur. of Labor Stat., Washington, DC, USA
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 :
adaptive systems; design of experiments; genetic algorithms; problem solving; time series; algorithm-problem matching; binary particle swarm algorithm; factorial time series; genetic algorithms; multimodal problem generator; Analysis of variance; Artificial intelligence; Control systems; DC generators; Genetic algorithms; Genetic mutations; Laboratories; Particle swarm optimization; Statistical analysis; Testing;
Conference_Titel :
Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4869-9
DOI :
10.1109/ICEC.1998.699326
