Review of meta-heuristics and generalised evolutionary walk algorithm

@article{Yang2011ReviewOM,
  title={Review of meta-heuristics and generalised evolutionary walk algorithm},
  author={Xin-She Yang},
  journal={IJBIC},
  year={2011},
  volume={3},
  pages={77-84}
}
Metaheuristic algorithms are often nature-inspired, and they are becoming very powerful in solving global optimization problems. More than a dozen of major metaheuristic algorithms have been developed over the last three decades, and there exist even more variants and hybrid of metaheuristics. This paper intends to provide an overview of nature-inspired metaheuristic algorithms, from a brief history to their applications. We try to analyze the main components of these algorithms and how and why… CONTINUE READING
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Particle swarm optimisation

  • J. Kennedy, R. Eberhart
  • in: Proc. of the IEEE Int. Conf. on Neural…
  • 1995
Highly Influential
3 Excerpts

A new metaheuristic bat-inspired algorithm’, in: Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) (Eds

  • X. S. Yang
  • J. R. Gonzalez et al.), Springer, SCI
  • 2010
3 Excerpts

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