articleEngineering ComputationsJul 13, 2012GREEN OA

Bat algorithm: a novel approach for global engineering optimization

XYXin‐She YangAHAmir Hossein Gandomi

National Physical Laboratory · Tafresh University

Indexed inarxivcrossref

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. Design/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. Findings BA has been carefully implemented and carried out optimization for eight well‐known optimization tasks; then a comparison has been made between the proposed algorithm and…

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1,718
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86.22
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Authors

2
  • XY
    Xin‐She YangCorresponding

    National Physical Laboratory

  • AH
    Amir Hossein Gandomi

    Tafresh University

Topics & keywords

Keywords
  • Metaheuristic
  • Engineering optimization
  • Human echolocation
  • Optimization algorithm
  • Optimization problem
  • Global optimization
  • Multi-swarm optimization
  • Nonlinear system
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