Particle Swarm Optimization with Negative Gradient-Reference-Cited by-同舟云学术

Particle Swarm Optimization with Negative Gradient

Published:2012-02 Issue: Volume:468-471 Page:2550-2553
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Na Ri Su¹,Li Qiang²,Wu Li Ji³

Affiliation:

1. Inner Mongolia University of Technology,

2. North China University of Technology,

3. Inner Mongolia University of Technology

Abstract

Based on the standard particle swarm optimization, introduce the information about negative gradient to influence the update of velocities of the particles, proposed the particles swarm optimization with negative gradient , and make the movement of particles more pertinent. The result of computer simulation about several test functions indicates that the particle swarm optimization with negative gradient can improve optimization efficiency and get better results.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.468-471.2550.pdf

Reference11 articles.

1. Kennedy, R C Eberhart. Particle swarm optimization[C]. Proc IEEE international conference on Neural Networks, USA: IEEE Press, 1995. 4: 1942~(1948).

2. Y Shi, R C Eberhart. A modified swarm optimizer[C]. IEEE International Conference of Evolutionary Computation, Anchorage, Alaska: IEEE Press, May, (1998).

3. Shi Y, Eberhart R. Empirical study of particle swarm optimization [A]. International Conference on Evolutionary Computation [C]. Washington, USA: IEEE, 1999. 1945-(1950).

4. Xiao-feng XIE, Wen-jun ZHANG, Zhi-lian YANG. Overview of particle swarm optimization [J]. Control and Decision, 2003, 18 (2) : 129-133. In Chinese.

5. Jun-wei WANG, Ding-wei WANG. Particle swarm optimization algorithm with gradient acceleration [J]. Control and Decision, 2004, 11(19): 1298-1304. In Chinese.