Multi-Objective Chaotic Evolutionary Algorithm

LEI De-ming; YAN Xin-ping; WU Zhi-ming

您当前的位置：

首页 >

文章列表页 >

Multi-Objective Chaotic Evolutionary Algorithm

更新时间：2025-07-16

- Multi-Objective Chaotic Evolutionary Algorithm
- Acta Electronica Sinica Vol. 34, Issue 6, Pages: 1142-1145(2006)
- 作者机构：
  
  1. 武汉理工大学智能运输系统研究中心,湖北,武汉,430063
  2. 武汉理工大学自动化学院,湖北,武汉,430070
  3. 上海交通大学自动化研究所,上海,200030
  4. 武汉理工大学智能运输系统研究中心湖北武汉,430063
  5. 武汉理工大学自动化学院湖北武汉,430070
  6. 上海交通大学自动化研究所上海,200030
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：2006
- 稿件说明：
移动端阅览
LEI De-ming, YAN Xin-ping, WU Zhi-ming. Multi-Objective Chaotic Evolutionary Algorithm[J]. Acta Electronica Sinica, 2006, 34(6): 1142-1145.
DOI：

LEI De-ming, YAN Xin-ping, WU Zhi-ming. Multi-Objective Chaotic Evolutionary Algorithm[J]. Acta Electronica Sinica, 2006, 34(6): 1142-1145. DOI：

摘要

设计了多目标混沌进化算法(MCEA)

在每一代遗传操作和外部档案调整完成之后

该算法从外部档案中随机选择部分个体

对这些个体的拷贝进行混沌搜索

以产生更多非劣解.将强度Pareto进化算法(SPEA)和SPEA2分别与基于Logistic映射的混沌搜索结合而产生的MCEAs应用于一些复杂多目标优化问题

计算结果表明

混沌的加入

明显改善了多目标进化算法(MOEA)各方面的性能.

Abstract

Multi-objective chaotic evolutionary algorithm (MCEA) is designed.In each generation of MCEA

after the population finishes all genetic operations and external archive maintenance is done

chaotic search is performed on the copy of several individuals randomly chosen from the external archive to obtain new non-dominated solutions.MCEAs respectively merging strength Pareto evolutionary algorithm (SPEA)

SPEA2 with chaotic search based on Logistic map are applied to some complex multi-objective optimization problems.The computational results demonstrate that the comprehensive performance of multi-objective evolutionary algorithm (MOEA) is improved as a consequence of the inclusion of chaos.

关键词

Keywords

references

Views

1053

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A High-Dimensional Multi-Task Multi-Objective Feature Selection Algorithm Based on Feature Redundancy Analysis

Bifurcation and Chaos in Josephson Junction Electromagnetic System with Lossless Transmission Line

Study on Nonlinear Dynamics Behavior in PWM Switched-Capacitor DC-DC Converter

3D Chaotic Signals Generator Design

Related Author

ZHU Miao-miao

YAO Xiang-juan

GONG Dun-wei

ZHANG Yan

FONT face

Verdana

ZHANG Li-sen

CAI Li

Related Institution

School of Mathematics, China University of Mining and Technology

College of Automation and Electronic Engineering, Qingdao University of Science and Technology

School of Communication Engineering, Suqian University

(School of Science, Air Force Engineering University, Xi’ an,,)

Institute of Science,Air Force Engineering University

⁰