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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004476
