Harmony search algorithm for energy system applications: an updated review and analysis

Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Somayeh Asadi, Jin Hong Kim, Zong Woo Geem

Research output: Contribution to journalArticlepeer-review

29 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)723-749
Number of pages27
JournalJournal of Experimental and Theoretical Artificial Intelligence
Issue number5
StatePublished - Sep 3 2019

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence


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