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Journal of Systems Science and Complexity

, Volume 32, Issue 2, pp 634–656 | Cite as

An Inverse Power Generation Mechanism Based Fruit Fly Algorithm for Function Optimization

  • Ao Liu
  • Xudong Deng
  • Liang Ren
  • Ying Liu
  • Bo LiuEmail author
Article
  • 31 Downloads

Abstract

As a novel population-based optimization algorithm, fruit fly optimization (FFO) algorithm is inspired by the foraging behavior of fruit flies and possesses the advantages of simple search operations and easy implementation. Just like most population-based evolutionary algorithms, the basic FFO also suffers from being trapped in local optima for function optimization due to premature convergence. In this paper, an improved FFO, named IPGS-FFO, is proposed in which two novel strategies are incorporated into the conventional FFO. Specifically, a smell sensitivity parameter together with an inverse power generation mechanism (IPGS) is introduced to enhance local exploitation. Moreover, a dynamic shrinking search radius strategy is incorporated so as to enhance the global exploration over search space by adaptively adjusting the searching area in the problem domain. The statistical performance of FFO, the proposed IPGS-FFO, three state-of-the-art FFO variants, and six metaheuristics are tested on twenty-six well-known unimodal and multimodal benchmark functions with dimension 30, respectively. Experimental results and comparisons show that the proposed IPGS-FFO achieves better performance than three FFO variants and competitive performance against six other meta-heuristics in terms of the solution accuracy and convergence rate.

Keywords

Evolutionary algorithms fruit fly optimization function optimization meta-heuristics 

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Copyright information

© The Editorial Office of JSSC & Springer-Verlag GmbH Germany 2019

Authors and Affiliations

  • Ao Liu
    • 1
    • 2
    • 3
  • Xudong Deng
    • 1
    • 2
    • 3
  • Liang Ren
    • 1
    • 2
    • 3
  • Ying Liu
    • 4
  • Bo Liu
    • 5
    Email author
  1. 1.School of ManagementWuhan University of Science and TechnologyWuhanChina
  2. 2.Center for Service Science and EngineeringWuhan University of Science and TechnologyWuhanChina
  3. 3.Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial SystemWuhanChina
  4. 4.School of Economics and ManagementBeihang UniversityBeijingChina
  5. 5.Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijingChina

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