Jaya a novel optimization algorithm: What, how and why?

Hari Mohan Pandey*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)peer-review

73 Citations (Scopus)
432 Downloads (Pure)

Abstract

This paper presents a comprehensive discussion of the Jaya algorithm, a novel approach for the optimization. There exist two broad categories of heuristic algorithms are: evolutionary algorithms and swarm intelligence. These algorithms' performance vastly depends on the parameters used need extensive tuning during the computational experiments to achieve the superior performance. The Jaya algorithm is a new optimization algorithm has been proposed recently is parameter less and therefore parameters tuning is not needed for it. The primary aim of this paper is to discuss the Jaya algorithm based on the rational aspects outlined as: (a) what is Jaya algorithm; (b) How it works and (c) why one should use it. The author believes that this discussion might be useful to explore the potential of the Jaya to the general audience working for the optimization.

Original languageEnglish
Title of host publicationProceedings of the 2016 6th International Conference - Cloud System and Big Data Engineering, Confluence 2016
EditorsAbhay Bansal, Abhishek Singhal
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages728-730
Number of pages3
ISBN (Electronic)9781467382021
ISBN (Print)9781467382021
DOIs
Publication statusPublished - 8 Jul 2016
Event6th International Conference on Cloud System and Big Data Engineering, Confluence 2016 - Uttar Pradesh, Noida, India
Duration: 14 Jan 201615 Jan 2016

Publication series

NameProceedings of the 2016 6th International Conference - Cloud System and Big Data Engineering, Confluence 2016

Conference

Conference6th International Conference on Cloud System and Big Data Engineering, Confluence 2016
Country/TerritoryIndia
CityUttar Pradesh, Noida
Period14/01/1615/01/16

Keywords

  • Evolutionary Algorithm
  • Jaya Algorithm
  • Nature Inspired Algorithm
  • Optimization
  • Swarm Intelligence

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