期刊
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
卷 31, 期 5, 页码 723-749出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/0952813X.2018.1550814
关键词
Harmony search; energy systems; optimisation; metaheuristics
资金
- Korea Agency for Infrastructure Technology Advancement (KAIA) [63256] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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.
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