Research on Application of Self-adaptive Strategy in Real-coding Genetic Algorithm

AN Jian-cheng; JIN Hai-juan

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Research on Application of Self-adaptive Strategy in Real-coding Genetic Algorithm

更新时间：2026-09-04

- Research on Application of Self-adaptive Strategy in Real-coding Genetic Algorithm
- Vol. 28, Issue 4, Pages: 140-142(2011)
- 作者机构：
  
  太原理工大学计算机与软件学院,山西,太原,030024
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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安建成, 靳海娟. 自适应策略在实数编码遗传算法中的应用研究[J]. 微电子学与计算机, 2011, 28(4): 140-142,146.

AN Jian-cheng, JIN Hai-juan. Research on Application of Self-adaptive Strategy in Real-coding Genetic Algorithm[J]. 2011, 28(4): 140-142.
安建成, 靳海娟. 自适应策略在实数编码遗传算法中的应用研究[J]. 微电子学与计算机, 2011, 28(4): 140-142,146. DOI：

AN Jian-cheng, JIN Hai-juan. Research on Application of Self-adaptive Strategy in Real-coding Genetic Algorithm[J]. 2011, 28(4): 140-142. DOI：

摘要

为解决简单遗传算法收敛速度慢以及局部收敛问题

在研究自适应策略的基础上

提出了一种基于实数编码

综合精英保留策略、2/4竞争选择策略和自适应策略的改进遗传算法.该改进算法将自适应策略及其在遗传算法中的应用方法做了改进

仿真实验证明

该算法可以提高收敛速度

有效实现全局最优化.

Abstract

To solve the slow convergence rate and local convergence of Simple Genetic Algorithm

on the basis of researching self-adaptive strategy

an improved genetic algorithm (IGA) with real-coding

elite reservation

2/4 competitive choosing and self-adaptive strategy is proposed. Self-adaptive strategy and its application in genetic algorithm are improved in the paper. The experiment shows that the improved algorithm is more effective in realizing the global optimization and promoting evolution efficiency.

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