Experiment and Analysis of the Value Selection of Acceleration Coefficients（c<sub>1</sub>,c<sub>2</sub>） in IPSO Method

Ren Feng-ming; Li Li-juan

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Experiment and Analysis of the Value Selection of Acceleration Coefficients（c₁,c₂） in IPSO Method

更新时间：2026-05-27

- Experiment and Analysis of the Value Selection of Acceleration Coefficients（c₁,c₂） in IPSO Method
- Vol. 25, Issue 1, Pages: 86-89(2008)
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- Published：2008
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任凤鸣, 李丽娟. 改进的PSO算法中学习因子（c₁,c₂）取值的实验与分析[J]. 广东工业大学学报, 2008, 25(1): 86-89.

Ren Feng-ming, Li Li-juan. Experiment and Analysis of the Value Selection of Acceleration Coefficients（c₁,c₂） in IPSO Method[J]. 2008, 25(1): 86-89.
任凤鸣, 李丽娟. 改进的PSO算法中学习因子（c₁,c₂）取值的实验与分析[J]. 广东工业大学学报, 2008, 25(1): 86-89. DOI：

Ren Feng-ming, Li Li-juan. Experiment and Analysis of the Value Selection of Acceleration Coefficients（c₁,c₂） in IPSO Method[J]. 2008, 25(1): 86-89. DOI：

摘要

采用改进的粒子群算法(IPSO)

以桁架结构为例

采用不同取值的c1

c2进行了3个算例的优化设计

通过对计算过程和结果的实验和分析

得出了适合于桁架结构优化设计的学习因子(c1

c2)的取值规律.

Abstract

This paper presents the rule of the value of acceleration coefficients(c1

c2) by numerical experiment and analysis for truss optimization design examples based on improved PSO method with the different value of acceleration coefficients.

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沈艳,郭兵,古天祥. 粒子群优化算法及其与遗传算法的比较[J]. 电子科技大学学报. 2005(05)

李亮,迟世春,林皋. 粒子群优化复合形法求解复杂土坡最小安全系数[J]. 岩土力学. 2005(09)

刘波,王凌,金以慧,黄德先. 微粒群优化算法研究进展[J]. 化工自动化及仪表. 2005(03)

王俊伟,汪定伟. 粒子群算法中惯性权重的实验与分析[J]. 系统工程学报. 2005(02)

王允良,李为吉. 粒子群优化算法及其在结构优化设计中的应用[J]. 机械科学与技术. 2005(02)

柯晶,钱积新,乔谊正. 一种改进粒子群优化算法[J]. 电路与系统学报. 2003(05)

蔡新等编著.工程结构优化设计[M]. 中国水利水电出版社, 2003

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Experiment and Analysis of the Value Selection of Acceleration Coefficients（c1,c2） in IPSO Method

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Experiment and Analysis of the Value Selection of Acceleration Coefficients（c₁,c₂） in IPSO Method