On Some Non-linear Decreasing Inertia Weight Strategies in Particle Swarm Optimization

Inspired by analyzing principle of PSO, some non-linear strategies for decreasing inertia weight (DIW) are proposed based on the existing linear DIW (LDIW), in this paper. Then a power function is designed to unify them. Four benchmark functions are used to evaluate these strategies on the PSO perfo...

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Bibliographic Details
Published in:2007 Chinese Control Conference pp. 750 - 753
Main Authors: Huang Chongpeng, Zhang Yuling, Jiang Dingguo, Xu Baoguo
Format: Conference Proceeding
Language:English
Published: IEEE 01.07.2007
Subjects:
Acceleration
Communication system control
Control engineering
Convergence
Decreasing Strategy
Equations
Evolutionary computation
Inertia Weight
Particle swarm optimization
Power Function
Testing
ISBN:9787811240559, 7811240556
ISSN:1934-1768
Online Access:Get full text
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Summary:Inspired by analyzing principle of PSO, some non-linear strategies for decreasing inertia weight (DIW) are proposed based on the existing linear DIW (LDIW), in this paper. Then a power function is designed to unify them. Four benchmark functions are used to evaluate these strategies on the PSO performance and select the best one. The experimental results show that for most continuous optimization problems, the best one gains an advantage over the linear strategy and others. It has more varieties of the swarm at the early stages so can escape from local minimum more easily, and also can speed up the convergence of particles at the later stages to improve the performance of PSO.
ISBN:9787811240559
7811240556
ISSN:1934-1768
DOI:10.1109/CHICC.2006.4347175