Title :
Extending particle swarm optimisers with self-organized criticality
Author :
Løvbjerg, Morten ; Krink, Thiemo
Author_Institution :
Dept. of Comput. Sci., Aarhus Univ., Denmark
fDate :
6/24/1905 12:00:00 AM
Abstract :
Particle swarm optimisers (PSOs) show potential in function optimisation, but still have room for improvement. Self-organized criticality (SOC) can help control the PSO and add diversity. Extending the PSO with SOC seems promising reaching faster convergence and better solutions
Keywords :
evolutionary computation; optimisation; convergence; function optimisation; particle swarm optimisers; self-organized criticality; Application software; Chaos; Computer science; Evolutionary computation; Genetic algorithms; Genetic mutations; Insects; Particle swarm optimization; Performance analysis; Weight control;
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.2002.1004479
