A Study on How to Use Angle Information to Include Decision Maker's Preferences

ZHENG Jin-hua; XIE Zhun-zhi

doi:10.3969/j.issn.0372-2112.2014.11.017

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A Study on How to Use Angle Information to Include Decision Maker's Preferences

更新时间：2025-07-16

- A Study on How to Use Angle Information to Include Decision Maker's Preferences
- Acta Electronica Sinica Vol. 42, Issue 11, Pages: 2239-2246(2014)
- 作者机构：
  
  湘潭大学信息工程学院,湖南,湘潭,411105
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2014.11.017
  CLC： TP18
- Published：2014
- 稿件说明：
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ZHENG Jin-hua, XIE Zhun-zhi. A Study on How to Use Angle Information to Include Decision Maker's Preferences[J]. Acta Electronica Sinica, 2014, 42(11): 2239-2246.
DOI：

ZHENG Jin-hua, XIE Zhun-zhi. A Study on How to Use Angle Information to Include Decision Maker's Preferences[J]. Acta Electronica Sinica, 2014, 42(11): 2239-2246. DOI： 10.3969/j.issn.0372-2112.2014.11.017.

摘要

在实际的多目标优化中

决策者通常只对少部分的Pareto最优解感兴趣.然而

传统多目标优化算法关注整个Pareto最优面上的解集

这不仅需要花费大量计算时间在无用解的搜索上

同时决策者也很难从众多解中选出符合自己偏好的解(特别是问题目标个数大于3时).为此

本文提出了一种利用个体间的角度关系的偏好多目标进化算法.该方法通过重新定义个体间的支配关系和聚集距离使那些离决策者偏好区域越近的个体优先被保留下来

从而引导种群趋近于决策者的偏好区域.

Abstract

The decision maker(DM)usually is only interested in small part of Pareto optimal solutions in the actual multi-objective optimization.However

the traditional multi-objective optimization algorithms pay more attention to the entire surface of the Pareto optimal solution set which need to spend large amount of computation time on the futile solutions search and the Decision Maker is difficult to select their preferred solutions from numerous solutions(especially when the problem's object is greater than 3).Therefore

this paper proposed a preference multi-objective evolutionary algorithm which is based on the angle information of individuals.This method could priority retain these individuals which is closer to the DM's preference region by redefining the domination relation and crowding distance of individuals

then the population will be guided to the DM's preference region.

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