Title :
A New Improved Particle Swarm Optimization Algorithm
Author :
Bi, Shujun ; Qing, Batu
Abstract :
This paper presents a new improved particle swarm optimization (PSO) algorithm to solve numerical optimization problems. The proposed approach, namely NPSO, modifies the velocity updating equation to balance the global search and local search abilities of PSO. In order to test the performance of our approach, we test it on nine well-known benchmark numerical optimization problems. Simulation results show the efficiency and effectiveness of NPSO.
Keywords :
Benchmark testing; Convergence; Educational institutions; Equations; Optimization; Particle swarm optimization; evolutionary computation; numerical optimization; particle swarm optimization;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2011 International Conference on
Conference_Location :
Chengdu, China
Print_ISBN :
978-1-4577-1540-2
DOI :
10.1109/ICCIS.2011.41
