A Multi-Objective Particle Swarm Optimization Algorithm Integrating Multiply Strategies

XIE Cheng-wang; ZOU Xiu-fen; XIA Xue-wen; WANG Zhi-jie

doi:10.3969/j.issn.0372-2112.2015.08.011

您当前的位置：

首页 >

文章列表页 >

A Multi-Objective Particle Swarm Optimization Algorithm Integrating Multiply Strategies

更新时间：2025-07-16

- A Multi-Objective Particle Swarm Optimization Algorithm Integrating Multiply Strategies
- Acta Electronica Sinica Vol. 43, Issue 8, Pages: 1538-1544(2015)
- 作者机构：
  
  1. 武汉大学数学与统计学院,湖北,武汉,430072
  2. 华东交通大学软件学院,江西,南昌,330013
  3. 武汉大学数学与统计学院,湖北,武汉,430072
  4. 华东交通大学软件学院,江西,南昌,330013
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2015.08.011
  CLC： TP301
- Published：2015
- 稿件说明：
移动端阅览
XIE Cheng-wang, ZOU Xiu-fen, XIA Xue-wen, et al. A Multi-Objective Particle Swarm Optimization Algorithm Integrating Multiply Strategies[J]. Acta Electronica Sinica, 2015, 43(8): 1538-1544.
DOI：

XIE Cheng-wang, ZOU Xiu-fen, XIA Xue-wen, et al. A Multi-Objective Particle Swarm Optimization Algorithm Integrating Multiply Strategies[J]. Acta Electronica Sinica, 2015, 43(8): 1538-1544. DOI： 10.3969/j.issn.0372-2112.2015.08.011.

摘要

为提高多目标粒子群算法在解决复杂多目标优化问题中的整体性能

提出一种多策略融合的多目标粒子群算法.该算法采用均匀化与随机化相结合的方式初始化种群

在粒子速度更新中新增一扰动项

运用简化的

-最近邻方法维持档案以及对档案个体赋予生存期属性并动态调整生存期值.实验结果表明

在GD和SP性能指标上

本文算法与另外5种对等算法在ZDT和DTLZ系列测试问题上进行对比

其表现出了总体显著性的性能优势.

Abstract

In order to improve the overall performance of multi-objective particle swarm optimization algorithm (MOPSO) in solving complicated multi-objective optimization problems

a multi-objective particle swarm optimization algorithm integrating multiply strategies (MSMOPSO) was proposed in the paper.A new initialization approach of combining uniformization and randomization was adopted in the MSMOPSO.Secondly

a disturbance item was added to the particle's velocity updating formula.Thirdly

a simplified

-nearest neighbor approach was applied to preserve the diversity of external archive.Finally

every non-dominated particle in the external archive was assigned the property of lifespan and the lifespan value would be adjusted dynamically during the run of the MSMOPSO.The experimental res

ults illustrate that the proposed algorithm significantly outperforms the other five peer competitors in terms of GD

SP on ZDT and DTLZ test instances set.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multi-Objective Design Method for Single-Stage Fully Differential Folded Cascode Operational Amplifiers Based on the Artificial Intelligence Algorithm

Parameter Estimation for Logistic Model by ParticleSwarm Optimization Algorithm

A Particle Swarm Optimization Algorithm with Fully Communicated Information

Research on Audio Watermarking Algorithm Based on EMD

Related Author

YANG Yin-tang

HOU Chen-xue

TIAN Yu-hao

SU Zhen-yu

LI Zhao-xi

FONT

FONT face

Verdana

Related Institution

Department of Integrated Circuits, Xidian University

（武汉大学软件工程国家重点实验室, ）

Institute of Automation, Hangzhou Dianzi University

Beijing National Security Science and Technology Co.Ltd Beijing China

Information Security Center Beijing University of Posts and Telecommunications Beijing China

⁰