Self-adaptive multi-objective harmony search for optimal design of water distribution networks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Young Hwan | - |
dc.contributor.author | Lee, Ho Min | - |
dc.contributor.author | Yoo, Do Guen | - |
dc.contributor.author | Kim, Joong Hoon | - |
dc.date.accessioned | 2021-09-03T15:08:07Z | - |
dc.date.available | 2021-09-03T15:08:07Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 0305-215X | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/86357 | - |
dc.description.abstract | In multi-objective optimization computing, it is important to assign suitable parameters to each optimization problem to obtain better solutions. In this study, a self-adaptive multi-objective harmony search (SaMOHS) algorithm is developed to apply the parameter-setting-free technique, which is an example of a self-adaptive methodology. The SaMOHS algorithm attempts to remove some of the inconvenience from parameter setting and selects the most adaptive parameters during the iterative solution search process. To verify the proposed algorithm, an optimal least cost water distribution network design problem is applied to three different target networks. The results are compared with other well-known algorithms such as multi-objective harmony search and the non-dominated sorting genetic algorithm-II. The efficiency of the proposed algorithm is quantified by suitable performance indices. The results indicate that SaMOHS can be efficiently applied to the search for Pareto-optimal solutions in a multi-objective solution space. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.subject | ALGORITHM | - |
dc.subject | OPTIMIZATION | - |
dc.title | Self-adaptive multi-objective harmony search for optimal design of water distribution networks | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Joong Hoon | - |
dc.identifier.doi | 10.1080/0305215X.2016.1273910 | - |
dc.identifier.scopusid | 2-s2.0-85010679789 | - |
dc.identifier.wosid | 000408953400008 | - |
dc.identifier.bibliographicCitation | ENGINEERING OPTIMIZATION, v.49, no.11, pp.1957 - 1977 | - |
dc.relation.isPartOf | ENGINEERING OPTIMIZATION | - |
dc.citation.title | ENGINEERING OPTIMIZATION | - |
dc.citation.volume | 49 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 1957 | - |
dc.citation.endPage | 1977 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordAuthor | Optimal design of water distribution network | - |
dc.subject.keywordAuthor | multi-objective harmony search | - |
dc.subject.keywordAuthor | self-adaptive | - |
dc.subject.keywordAuthor | parameter-setting-free | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.