The harmony search algorithms hi solving combinatorial optimization problems

Masri Ayob, Mohammed Hadwan, Hafiz Mohd Sarim

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Harmony Search Algorithm (HSA) is a relatively new nature-inspired algorithm. HSA is a population based metaheuristic that inspired by the improvisation of jazz musicians. It evolves solutions by mimicking the musical improvisation process in searching for agreeable harmony. Many variants of HSA have proposed to solve different types of optimization problems. They vary from hybridizing some concepts of other metaheuristic approaches to enhance the HSA to taking some components of HSA and employed them to enhance the other metaheuristic approaches. This research reviews research issues of the parameter settings in HSA and application of HSA to effectively solve some complex problems.

Original languageEnglish
Pages (from-to)191-198
Number of pages8
JournalResearch Journal of Applied Sciences
Volume8
Issue number3
DOIs
Publication statusPublished - 2013

Fingerprint

Combinatorial optimization
optimization

Keywords

  • Harmony search
  • HSA nature
  • Inspired algorithm
  • Malaysia
  • Meta-heuristic
  • Timetabling and personnel scheduling

ASJC Scopus subject areas

  • General
  • Engineering(all)

Cite this

The harmony search algorithms hi solving combinatorial optimization problems. / Ayob, Masri; Hadwan, Mohammed; Mohd Sarim, Hafiz.

In: Research Journal of Applied Sciences, Vol. 8, No. 3, 2013, p. 191-198.

Research output: Contribution to journalArticle

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