Title :
A novel particle swarm optimization algorithm
Author :
Dongyun, Wang ; Ping, Zeng ; Luowei, Li ; Kai, Wang
Author_Institution :
Dept. of Electron. & Inf., Zhongyuan Inst. of Technol., Zhengzhou, China
Abstract :
A novel particle swarm optimization (NPSO) algorithm with dynamically changing inertia weight based on fltness and iterations was presented for improving the performance of the Particle Swarm Optimization algorithm. The new algorithm was tested with three benchmark functions. The experimental results show that the swarm can escape from local optimum, and it also can speed up the convergence of particles to improve the performance.
Keywords :
convergence; particle swarm optimisation; inertia weight; particle convergence; particle swarm optimization algorithm; Conferences; Convergence; Equations; Heuristic algorithms; IEEE services; Optimization; Particle swarm optimization; Particle Swarm Optimization; convergence speed; extreme value; inertia weight; premature;
Conference_Titel :
Software Engineering and Service Sciences (ICSESS), 2010 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6054-0
DOI :
10.1109/ICSESS.2010.5552354
