Bat algorithm: a novel approach for global engineering optimization

YXYang, Xin-SheGAGandomi, Amir Hossein

Abstract

Purpose – Nature-inspired algorithms are among the most powerful algorithms for optimization. The purpose of this paper is to introduce a new nature-inspired metaheuristic optimization algorithm, called bat algorithm (BA), for solving engineering optimization tasks. 
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\nDesign/methodology/approach – The proposed BA is based on the echolocation behavior of bats. After a detailed formulation and explanation of its implementation, BA is verified using eight nonlinear engineering optimization problems reported in the specialized literature. 
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\nFindings – BA has been carefully implemented and carried out optimization for eight well-known optimization tasks; then a comparison has been made…

Citation impact

1,060
total citations
FWCI
106.55
Percentile
100%
References
76
Citations per year

Authors

2
  • YX
    Yang, Xin-SheCorresponding
  • GA
    Gandomi, Amir Hossein

Topics & keywords

Keywords
  • Metaheuristic
  • Human echolocation
  • Bat algorithm
  • Engineering optimization
  • Optimization algorithm
  • Computer science
  • Algorithm
  • Mathematical optimization
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