Ions motion algorithm for solving optimization problems

Behzad Javidy, Abdolreza Hatamlou, Seyedali Mirjalili

Research output: Contribution to journalArticle

69 Citations (Scopus)

Abstract

Abstract This paper proposes a novel optimization algorithm inspired by the ions motion in nature. In fact, the proposed algorithm mimics the attraction and repulsion of anions and cations to perform optimization. The proposed algorithm is designed in such a way to have the least tuning parameters, low computational complexity, fast convergence, and high local optima avoidance. The performance of this algorithm is benchmarked on 10 standard test functions and compared to four well-known algorithms in the literature. The results demonstrate that the proposed algorithm is able to show very competitive results and has merits in solving challenging optimization problems.

Original languageEnglish
Article number2864
Pages (from-to)72-79
Number of pages8
JournalApplied Soft Computing Journal
Volume32
DOIs
Publication statusPublished - 1 Jul 2015
Externally publishedYes

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Keywords

  • Ions motion algorithm
  • Meta-heuristic algorithms
  • Optimization problems

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