A Particle Swarm Optimization Algorithm with Fully Communicated Information

LU Qiang; LIU Shi-rong

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A Particle Swarm Optimization Algorithm with Fully Communicated Information

更新时间：2025-07-16

- A Particle Swarm Optimization Algorithm with Fully Communicated Information
- Acta Electronica Sinica Vol. 38, Issue 3, Pages: 664-667(2010)
- 作者机构：
  
  杭州电子科技大学自动化研究所,浙江,杭州,310018
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：2010
- 稿件说明：
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LU Qiang, LIU Shi-rong. A Particle Swarm Optimization Algorithm with Fully Communicated Information[J]. Acta Electronica Sinica, 2010, 38(3): 664-667.
DOI：

LU Qiang, LIU Shi-rong. A Particle Swarm Optimization Algorithm with Fully Communicated Information[J]. Acta Electronica Sinica, 2010, 38(3): 664-667. DOI：

摘要

提出了一种信息充分交流的粒子群优化算法. 首先，建立了信息素矩阵，提供了粒子之间信息分享的平台；然后，采用正态分布融合信息素矩阵中的信息，并使用位置修正加强群体信息的交流；最后，通过位置扰动来增强群体对信息的利用能力. 采用基准函数对该算法进行测试，数值实验结果验证了该算法的有效性.

Abstract

A particle swarm optimization algorithm with fully communicated information is proposed. To begin with

an information-shared matrix

which provides a platform of information exchange among particles

is built. Then

normal distribution as a tool is used to synthesize information from the information-shared matrix. A method is used to modify particle position aiming to improve the information-shared level. Lastly

by using the method of position disturbance

the ability of utilizing information is enhanced. The obtained results on the benchmark functions show the effectiveness of the proposed algorithm.

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Related Institution

Department of Integrated Circuits, Xidian University

（武汉大学软件工程国家重点实验室, ）

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