Firefly Algorithms for Multimodal Optimization View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2009

AUTHORS

Xin-She Yang

ABSTRACT

Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper intends to provide a detailed description of a new Firefly Algorithm (FA) for multimodal optimization applications. We will compare the proposed firefly algorithm with other metaheuristic algorithms such as particle swarm optimization (PSO). Simulations and results indicate that the proposed firefly algorithm is superior to existing metaheuristic algorithms. Finally we will discuss its applications and implications for further research. More... »

PAGES

169-178

References to SciGraph publications

  • 2006. Swarm Intelligence in HANDBOOK OF NATURE-INSPIRED AND INNOVATIVE COMPUTING
  • Book

    TITLE

    Stochastic Algorithms: Foundations and Applications

    ISBN

    978-3-642-04943-9
    978-3-642-04944-6

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-04944-6_14

    DOI

    http://dx.doi.org/10.1007/978-3-642-04944-6_14

    DIMENSIONS

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