Adaptive Method of Particle Swarm Optimization for Multimodal Function

Jiantao GUO; Xinwu CHEN; Youchao TU

Multimodal optimization or finding more than one optimum is needed in many scientific and engineering application fields. Niching methods of particle swarm optimization has been successfully applied in many areas since it is a powerful, yet simple population based optimization strategy. A comprehensive analysis of neighborhood selection and information sharing mechanism was given from two aspects including topology technique and measure criterion. Moreover, most of existing niching particle swarm optimization algorithms which include SPSO, NichePSO, ARPSO, r2PSO, FER-PSO, ANPSO, FIPS-PSO, nbestPSO etc were described and compared. Furthermore, advantages and disadvantages existing in these algorithms were pointed out. Therefore, some ideas to improve the performance of niching particle swarm optimization algorithms were proposed.

Select Volume / Issues:

• Volume 6,Issue 4, July 2015

Year:

2015

Type of Publication:

Article

Keywords:

Evolutionary Computation; Multimodal Function Optimization; Particle Swarms; Niching Technique; Adaptive Method

Journal:

IJECCE

Volume:

6

Number:

4

Pages:

486-492

Month:

July