On the Advantages of Searching Infeasible Regions in Constrained Evolutionary-based Multi-Objective Engineering Optimization

IF 2.9 3区 工程技术 Q2 ENGINEERING, MECHANICAL
Yohanes Bimo Dwianto, Pramudita Satria Palar, Lavi Rizki Zuhal, Akira Oyama
{"title":"On the Advantages of Searching Infeasible Regions in Constrained Evolutionary-based Multi-Objective Engineering Optimization","authors":"Yohanes Bimo Dwianto, Pramudita Satria Palar, Lavi Rizki Zuhal, Akira Oyama","doi":"10.1115/1.4063629","DOIUrl":null,"url":null,"abstract":"Abstract Solving a multiple-criteria optimization problem with severe constraints remains a significant issue in multi-objective evolutionary algorithms (MOEA). The problem primarily stems from the need for a suitable constraint-handling technique for an MOEA. One potential approach is to balance the search in both feasible and infeasible regions to find the Pareto front efficiently. The justification for such a strategy is that the infeasible region also provides valuable information for the MOEA, especially in problems with a small percentage of feasibility areas. To that end, this paper investigates the potential of the infeasibility-driven principle based on multiple constraint ranking-based techniques to solve a multi-objective problem with a large number of constraints. By analyzing the results from intensive experiments on a set of test problems, including the realistic multi-objective car structure design and actuator design problem, it is shown that there is a significant improvement gained in terms of convergence and diversity by utilizing the generalized version of the multiple constraint ranking techniques.","PeriodicalId":50137,"journal":{"name":"Journal of Mechanical Design","volume":"30 1","pages":"0"},"PeriodicalIF":2.9000,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mechanical Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/1.4063629","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract Solving a multiple-criteria optimization problem with severe constraints remains a significant issue in multi-objective evolutionary algorithms (MOEA). The problem primarily stems from the need for a suitable constraint-handling technique for an MOEA. One potential approach is to balance the search in both feasible and infeasible regions to find the Pareto front efficiently. The justification for such a strategy is that the infeasible region also provides valuable information for the MOEA, especially in problems with a small percentage of feasibility areas. To that end, this paper investigates the potential of the infeasibility-driven principle based on multiple constraint ranking-based techniques to solve a multi-objective problem with a large number of constraints. By analyzing the results from intensive experiments on a set of test problems, including the realistic multi-objective car structure design and actuator design problem, it is shown that there is a significant improvement gained in terms of convergence and diversity by utilizing the generalized version of the multiple constraint ranking techniques.
基于约束进化的多目标工程优化中搜索不可行区域的优势
在多目标进化算法(MOEA)中,求解具有严格约束的多准则优化问题一直是一个重要问题。这个问题主要源于对MOEA合适的约束处理技术的需求。一种可能的方法是平衡可行和不可行区域的搜索,以有效地找到帕累托前沿。这种策略的理由是,不可行区域也为MOEA提供了有价值的信息,特别是在少数可行区域的问题上。为此,本文研究了基于多约束排序技术的不可行性驱动原理在解决具有大量约束的多目标问题中的潜力。通过对实际多目标汽车结构设计和致动器设计等测试问题的大量实验结果分析,表明采用广义版多约束排序技术在收敛性和多样性方面都有显著改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Mechanical Design
Journal of Mechanical Design 工程技术-工程:机械
CiteScore
8.00
自引率
18.20%
发文量
139
审稿时长
3.9 months
期刊介绍: The Journal of Mechanical Design (JMD) serves the broad design community as the venue for scholarly, archival research in all aspects of the design activity with emphasis on design synthesis. JMD has traditionally served the ASME Design Engineering Division and its technical committees, but it welcomes contributions from all areas of design with emphasis on synthesis. JMD communicates original contributions, primarily in the form of research articles of considerable depth, but also technical briefs, design innovation papers, book reviews, and editorials. Scope: The Journal of Mechanical Design (JMD) serves the broad design community as the venue for scholarly, archival research in all aspects of the design activity with emphasis on design synthesis. JMD has traditionally served the ASME Design Engineering Division and its technical committees, but it welcomes contributions from all areas of design with emphasis on synthesis. JMD communicates original contributions, primarily in the form of research articles of considerable depth, but also technical briefs, design innovation papers, book reviews, and editorials.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信