Title :
WoSP: a multi-optima particle swarm algorithm
Author_Institution :
Centre for Intelligent Syst. & Complex Processes, Swinburne Univ. of Technol., Hawthorn, Vic.
Abstract :
When investigating multi-optima problems, a particle swarm algorithm should not converge on single optima but ideally should explore many optima by continual searching. The common practice of only evaluating each particle´s performance at discrete intervals can, at small computational cost, be used to adjust particle behaviour in situations where the swarm is `settling´ so as to encourage the swarm to explore further. An algorithm is proposed that, by making each wave of particles partially independent, is suitable for multi-optima problems
Keywords :
particle swarm optimisation; search problems; continual searching; multioptima particle swarm algorithm; Australia; Biological system modeling; Birds; Computational efficiency; Equations; History; Intelligent systems; Particle swarm optimization;
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Conference_Location :
Edinburgh, Scotland
Print_ISBN :
0-7803-9363-5
DOI :
10.1109/CEC.2005.1554755
