Title :
An extended particle swarm optimizer
Author :
Jun-Jie, Xu ; Zhan-Hong, Xin
Author_Institution :
Sch. of Econ. & Manage., Beijing Univ. of Posts & Telecommun., China
Abstract :
An extended particle swarm optimizer (EPSO) is proposed in this paper. In this new algorithm, not only the local but also the global best positions found so far will involve in the particle´s velocity updating process. EPSO is an integration of two paradigms of canonical PSO and is presumed to yield a more steady progress of optimization. The experiment results have proved that EPSO is an applicable means to utilize the population information and it deserves to be investigated in future.
Keywords :
evolutionary computation; optimisation; canonical particle swarm optimization; evolutionary computation; extended particle swarm optimizer; population information; Birds; Collaboration; Computational efficiency; Computational modeling; Distributed processing; Equations; Evolutionary computation; Particle swarm optimization; Topology;
Conference_Titel :
Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
Print_ISBN :
0-7695-2312-9
DOI :
10.1109/IPDPS.2005.101
