Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Overview of Harmony Search algorithm and its applications in Civil Engineering

Full metadata record
DC Field Value Language
dc.contributor.authorYoo, D.G.-
dc.contributor.authorKim, J.H.-
dc.contributor.authorGeem, Z.W.-
dc.date.accessioned2021-09-05T15:57:40Z-
dc.date.available2021-09-05T15:57:40Z-
dc.date.created2021-06-17-
dc.date.issued2014-
dc.identifier.issn1864-5909-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/100725-
dc.description.abstractHarmony Search (HS), a meta-heuristic algorithm, conceptualizes a musical process of searching for a perfect state of harmony (optimal solution). It allows a random search without initial values and removes the necessity for information of derivatives. Since the HS algorithm was first developed and published in 2001, it has been applied to various research areas and the world wide attention on it has rapidly increased. In this paper, applications of HS algorithm in Civil Engineering (CE) are to be overviewed. Articles in CE areas including water resources, structural, geotechnical, environmental, and traffic engineering are to be reviewed thoroughly. As a results, variety of application results show that HS can be effectively used as a tool for optimization problems in CE. © 2013 Springer-Verlag Berlin Heidelberg.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherSpringer Verlag-
dc.subjectCivil engineering-
dc.subjectHeuristic algorithms-
dc.subjectHighway engineering-
dc.subjectLearning algorithms-
dc.subjectWater resources-
dc.subjectHarmony search algorithms-
dc.subjectITS applications-
dc.subjectLiterature reviews-
dc.subjectMeta heuristic algorithm-
dc.subjectOptimal solutions-
dc.subjectOptimization problems-
dc.subjectRandom searches-
dc.subjectTraffic Engineering-
dc.subjectOptimization-
dc.titleOverview of Harmony Search algorithm and its applications in Civil Engineering-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, J.H.-
dc.identifier.doi10.1007/s12065-013-0100-4-
dc.identifier.scopusid2-s2.0-84894332612-
dc.identifier.bibliographicCitationEvolutionary Intelligence, v.7, no.1, pp.3 - 16-
dc.relation.isPartOfEvolutionary Intelligence-
dc.citation.titleEvolutionary Intelligence-
dc.citation.volume7-
dc.citation.number1-
dc.citation.startPage3-
dc.citation.endPage16-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusCivil engineering-
dc.subject.keywordPlusHeuristic algorithms-
dc.subject.keywordPlusHighway engineering-
dc.subject.keywordPlusLearning algorithms-
dc.subject.keywordPlusWater resources-
dc.subject.keywordPlusHarmony search algorithms-
dc.subject.keywordPlusITS applications-
dc.subject.keywordPlusLiterature reviews-
dc.subject.keywordPlusMeta heuristic algorithm-
dc.subject.keywordPlusOptimal solutions-
dc.subject.keywordPlusOptimization problems-
dc.subject.keywordPlusRandom searches-
dc.subject.keywordPlusTraffic Engineering-
dc.subject.keywordPlusOptimization-
dc.subject.keywordAuthorCivil Engineering-
dc.subject.keywordAuthorHarmony Search algorithm-
dc.subject.keywordAuthorLiterature review-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Civil, Environmental and Architectural Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE