Matching algorithms to problems: An experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator
被引:199
作者:
Kennedy, J
论文数: 0引用数: 0
h-index: 0
机构:
US Bur Labor Stat, Washington, DC 20212 USAUS Bur Labor Stat, Washington, DC 20212 USA
Kennedy, J
[1
]
Spears, WM
论文数: 0引用数: 0
h-index: 0
机构:
US Bur Labor Stat, Washington, DC 20212 USAUS Bur Labor Stat, Washington, DC 20212 USA
Spears, WM
[1
]
机构:
[1] US Bur Labor Stat, Washington, DC 20212 USA
来源:
1998 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION - PROCEEDINGS
|
1998年
关键词:
D O I:
10.1109/ICEC.1998.699326
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
A multimodal problem generator was used to test three versions of genetic algorithm and the binary particle swarm algorithm in a factorial time-series experiment. Specific strengths and weaknesses of the various algorithms were identified.