Title :
NW-based Particle Swarm Optimization
Author_Institution :
Sch. of Comput. Sci. & Technol., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
Abstract :
Topology structure is a key issue for the performance of particle swarm optimization (PSO). A good structure selection may provide more chance to escape from a local optimum. In this paper, a new topology structure - Newman and Watts model is introduced to increase the performance particle swarm optimization and is called NWPSO. In NWPSO, the topology is changed according to Newman and Watts rules within the whole evolutionary process. Simulation results show the proposed algorithm is superior to other three variants of PSO.
Keywords :
particle swarm optimisation; particle swarm optimization; topology structure; Computational modeling; Equations; Heuristic algorithms; Mathematical model; Particle swarm optimization; Simulation; Topology; Newman and Watts model; particle swarm optimization; topology;
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-8785-1
DOI :
10.1109/CASoN.2010.11
