Historical survey on metaheuristics algorithms

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    Metaheuristic algorithms have been an interesting and widely used area for scientists, researchers and academicians because of their specific and significant characteristics and capabilities in solving optimization problems. Metaheuristic algorithms are developed base on inspiration of some real world phenomenon in nature or on the behavior of living being (animal, insects, organic living beings). On the past many metaheuristic algorithms have been introduced and applied on various problems of various domains including real world optimization problems. This paper is aimed to provide a historical Survey on metaheuristic algorithms, it will provide a list of metaheuristic based algorithms ordered according to the foundation year, with the name of Authors and the algorithm abbreviations.


  • Keywords

    Metaheuristic; Swarm Intelligence; History; Natural Inspired Algorithm; Optimization Algorithms; Classifications

  • References

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Article ID: 29497
DOI: 10.14419/ijsw.v7i1.29497

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