Improved convergence behavior by using best solutions to enhance harmony search algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Harmony search is an emerging meta-heuristic optimization algorithm inspired from music improvisation processes, and able to solve different optimization problems. In the previous studies harmony search is improved by information of the best solution. This increases speed of coverage to the solution but chance of immature coverage to the local optimum increases by this way. Thus, this study uses information from the p of the best solutions to accelerate coverage to optimal solution while avoiding immature coverage. Simulation results show the proposed approach applied for different numerical optimization problems has better performance than previous approaches.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Pages889-898
Number of pages10
Volume436
ISBN (Print)9789811004476
DOIs
Publication statusPublished - 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume436
ISSN (Print)21945357

Fingerprint

Information use

Keywords

  • Best solutions
  • Harmony search
  • Optimization algorithm

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Maroosi, A., & Muniyandi, R. C. (2016). Improved convergence behavior by using best solutions to enhance harmony search algorithm. In Advances in Intelligent Systems and Computing (Vol. 436, pp. 889-898). (Advances in Intelligent Systems and Computing; Vol. 436). Springer Verlag. https://doi.org/10.1007/978-981-10-0448-3_74

Improved convergence behavior by using best solutions to enhance harmony search algorithm. / Maroosi, Ali; Muniyandi, Ravie Chandren.

Advances in Intelligent Systems and Computing. Vol. 436 Springer Verlag, 2016. p. 889-898 (Advances in Intelligent Systems and Computing; Vol. 436).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Maroosi, A & Muniyandi, RC 2016, Improved convergence behavior by using best solutions to enhance harmony search algorithm. in Advances in Intelligent Systems and Computing. vol. 436, Advances in Intelligent Systems and Computing, vol. 436, Springer Verlag, pp. 889-898. https://doi.org/10.1007/978-981-10-0448-3_74
Maroosi A, Muniyandi RC. Improved convergence behavior by using best solutions to enhance harmony search algorithm. In Advances in Intelligent Systems and Computing. Vol. 436. Springer Verlag. 2016. p. 889-898. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-981-10-0448-3_74
Maroosi, Ali ; Muniyandi, Ravie Chandren. / Improved convergence behavior by using best solutions to enhance harmony search algorithm. Advances in Intelligent Systems and Computing. Vol. 436 Springer Verlag, 2016. pp. 889-898 (Advances in Intelligent Systems and Computing).
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