Harmony search algorithm for energy system applications: an updated review and analysis
DC Field | Value | Language |
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dc.contributor.author | Nazari-Heris, M. | - |
dc.contributor.author | Mohammadi-Ivatloo, B. | - |
dc.contributor.author | Asadi, S. | - |
dc.contributor.author | Kim, J.-H. | - |
dc.contributor.author | Geem, Z.W. | - |
dc.date.available | 2019-06-26T01:39:06Z | - |
dc.date.issued | 2019-09 | - |
dc.identifier.issn | 0952-813X | - |
dc.identifier.issn | 1362-3079 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/26438 | - |
dc.description.abstract | Recent advancements in energy systems have led to a series of new challenges in the decision-making process. Harmony search (HS) algorithm, which is a music-inspired optimisation technique, has been applied to some of these decision-making processes to obtain optimal set points within these energy systems. HS is based on the music improvisation process where musicians try to find better harmonies. Some of the advantages of HS method are that it is relatively simple to implement and require less algorithmic parameters. This paper aims to provide a comprehensive review on the applications of HS method to energy systems, that concentrate on two main objectives. First, the improved versions of HS introduced in recent studies will be reported. Second, contributed researches in energy systems by using HS will be analysed. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. | - |
dc.format.extent | 27 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Taylor and Francis Ltd. | - |
dc.title | Harmony search algorithm for energy system applications: an updated review and analysis | - |
dc.type | Article | - |
dc.identifier.doi | 10.1080/0952813X.2018.1550814 | - |
dc.identifier.bibliographicCitation | Journal of Experimental and Theoretical Artificial Intelligence, v.31, no.5, pp 723 - 749 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000486092000003 | - |
dc.identifier.scopusid | 2-s2.0-85059449863 | - |
dc.citation.endPage | 749 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 723 | - |
dc.citation.title | Journal of Experimental and Theoretical Artificial Intelligence | - |
dc.citation.volume | 31 | - |
dc.type.docType | Article in Press | - |
dc.publisher.location | 영국 | - |
dc.subject.keywordAuthor | energy systems | - |
dc.subject.keywordAuthor | Harmony search | - |
dc.subject.keywordAuthor | metaheuristics | - |
dc.subject.keywordAuthor | optimisation | - |
dc.subject.keywordPlus | Concrete pavements | - |
dc.subject.keywordPlus | Decision making | - |
dc.subject.keywordPlus | Optimization | - |
dc.subject.keywordPlus | Algorithmic parameters | - |
dc.subject.keywordPlus | Decision making process | - |
dc.subject.keywordPlus | Energy systems | - |
dc.subject.keywordPlus | Harmony search | - |
dc.subject.keywordPlus | Harmony search algorithms | - |
dc.subject.keywordPlus | Meta heuristics | - |
dc.subject.keywordPlus | Optimisation techniques | - |
dc.subject.keywordPlus | Optimisations | - |
dc.subject.keywordPlus | Computer music | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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