.png){kind=icon}
返回
Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization
.png){kind=icon}
PRE
AI
DOI：10.1007/s00500-015-1674-9.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Many-objective optimization has attracted much attention in evolutionary multi-objective optimization (EMO). This is because EMO algorithms developed so far often degrade their search ability for optimization problems with four or more objectives, which are frequently referred to as many-objective problems. One of promising approaches to handle many objectives is to incorporate the preference of a decision maker (DM) into EMO algorithms. With the preference, EMO algorithms can focus the search on regions preferred by the DM, resulting in solutions close to the Pareto front around the preferred regions. Although a number of preference-based EMO algorithms have been proposed, it is not trivial for theDMto reflect his/ her actual preference in the search. We previously proposed to represent the preference of the DM using Gaussian functions on a hyperplane. The DM specifies the center and spread vectors of the Gaussian functions so as to represent his/ her preference. The preference handling is integrated into the framework of NSGA-II. This paper extends our previous work so that obtained solutions follow the distribution of Gaussian functions specified. The performance of our proposed method is demonstrated mainly for benchmark problems and real-world applications with a few objectives in this paper. We also show the applicability of our method to many-objective problems.
Keyword:
Many-objective optimization
Preference
Evolutionary multi-objective optimization (EMO)
Decision making
Hyperplane
Gaussian function
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.5
论文数:
1.0W
被引数:
2.1W
机构
引用论文
Allele specific DNA marker for fusarium resistance gene <i>FocBo1</i> in <i>Brassica oleracea</i>
OAAI
OAAI分享收藏Refining Estimates of Bird Collision and Electrocution Mortality at Power Lines in the United States.png)
PLoS ONEOAAI
PLoS ONEIF0
OAAI分享收藏Multiobjective evolutionary algorithms: A comparative case study and the Strength Pareto approach多目标进化算法: 比较案例研究和强度帕累托方法
PREAI
分享收藏
分享收藏分享收藏Breakup and freezeup of the Red River at Winnipeg, Manitoba Canada in the 19th century and some climatic implications19世纪加拿大马尼托巴省温尼伯市红河的解冻与封冻及其气候影响
PREAI
分享收藏
查看更多内容