DocumentCode
1635832
Title
Division of labor in particle swarm optimisation
Author
Vesterstrom, Jakob S. ; Riget, Jacques ; Krink, Thiemo
Author_Institution
Dept. of Comput. Sci., Aarhus Univ., Denmark
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1570
Lastpage
1575
Abstract
We introduce Division of Labor (DoL) from social insects to improve local optimisation of the Particle Swarm Optimiser (PSO). We compared the performance with the basic PSO, a GA and simulated annealing and found improvements around local optima. The PSO with DoL outperforms the basic PSO on most testcases and is comparable in local optimisation with SA
Keywords
genetic algorithms; simulated annealing; division of labor; genetic algorithm; local optima; local optimisation; particle swarm optimisation; simulated annealing; social insects; Annealing; Birds; Computer science; Educational institutions; Insects; Marine animals; Optimization methods; Particle swarm optimization; Testing; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1004476
Filename
1004476
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