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, Morteza | - |
dc.contributor.author | Mohammadi-Ivatloo, Behnam | - |
dc.contributor.author | Asadi, Somayeh | - |
dc.contributor.author | Kim, Jin-Hong | - |
dc.contributor.author | Geem, Zong Woo | - |
dc.date.available | 2020-02-27T02:22:15Z | - |
dc.date.created | 2020-02-04 | - |
dc.date.issued | 2019-09-03 | - |
dc.identifier.issn | 0952-813X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/999 | - |
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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.relation.isPartOf | JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE | - |
dc.subject | AUTOMATIC-GENERATION CONTROL | - |
dc.subject | LOAD FREQUENCY CONTROL | - |
dc.subject | OPTIMAL POWER-FLOW | - |
dc.subject | ECONOMIC-ENVIRONMENTAL-DISPATCH | - |
dc.subject | PHASOR MEASUREMENT UNITS | - |
dc.subject | RENEWABLE MICRO-GRIDS | - |
dc.subject | OPTIMIZATION ALGORITHM | - |
dc.subject | SIZE OPTIMIZATION | - |
dc.subject | MULTIOBJECTIVE OPTIMIZATION | - |
dc.subject | SCHEDULING PROBLEM | - |
dc.title | Harmony search algorithm for energy system applications: an updated review and analysis | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000486092000003 | - |
dc.identifier.doi | 10.1080/0952813X.2018.1550814 | - |
dc.identifier.bibliographicCitation | JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, v.31, no.5, pp.723 - 749 | - |
dc.identifier.scopusid | 2-s2.0-85059449863 | - |
dc.citation.endPage | 749 | - |
dc.citation.startPage | 723 | - |
dc.citation.title | JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE | - |
dc.citation.volume | 31 | - |
dc.citation.number | 5 | - |
dc.contributor.affiliatedAuthor | Geem, Zong Woo | - |
dc.type.docType | Review | - |
dc.subject.keywordAuthor | Harmony search | - |
dc.subject.keywordAuthor | energy systems | - |
dc.subject.keywordAuthor | optimisation | - |
dc.subject.keywordAuthor | metaheuristics | - |
dc.subject.keywordPlus | AUTOMATIC-GENERATION CONTROL | - |
dc.subject.keywordPlus | LOAD FREQUENCY CONTROL | - |
dc.subject.keywordPlus | OPTIMAL POWER-FLOW | - |
dc.subject.keywordPlus | ECONOMIC-ENVIRONMENTAL-DISPATCH | - |
dc.subject.keywordPlus | PHASOR MEASUREMENT UNITS | - |
dc.subject.keywordPlus | RENEWABLE MICRO-GRIDS | - |
dc.subject.keywordPlus | OPTIMIZATION ALGORITHM | - |
dc.subject.keywordPlus | SIZE OPTIMIZATION | - |
dc.subject.keywordPlus | MULTIOBJECTIVE OPTIMIZATION | - |
dc.subject.keywordPlus | SCHEDULING PROBLEM | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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