AMHS: Archive-Based Multi-objective Harmony Search Algorithm

Nima Khodadadi, Farhad Soleimanian Gharehchopogh, Benyamın Abdollahzadeh, Seyedali Mirjalili

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Meta-heuristics have been widely used in both science and industry as reliable alternatives to conventional optimization algorithms to solve challenging, real-world problems. Despite being general-purpose and having a black-box nature, they require changes to solve multi-objective optimization problems. This paper proposes a multi-objective version of harmony search based on the archive. Archive, grid, and leader selection mechanisms are applied in multi-objectives of HS. Five real-engineering problems are evaluated with the results of three indexes. Based on the results, the AMHS is capable of providing acceptable results than other alternatives.

Original languageEnglish
Title of host publicationLecture Notes on Data Engineering and Communications Technologies
PublisherSpringer Science and Business Media Deutschland GmbH
Pages259-269
Number of pages11
DOIs
Publication statusPublished - 2022

Publication series

NameLecture Notes on Data Engineering and Communications Technologies
Volume140
ISSN (Print)2367-4512
ISSN (Electronic)2367-4520

Keywords

  • Harmony search
  • Multi-objective harmony search
  • Real-engineering problems

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