Improved bat algorithm with optimal forage strategy and random disturbance strategy

Xingjuan Cai*, Xiaozhi Gao, Yu Xue

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

190 Citations (Scopus)

Abstract

Bat algorithm is a novel bio-inspired stochastic optimisation algorithm. However, due to the limited exploration and exploitation capabilities, the performance is not well when dealing with some multi-modal numerical problems. In this paper, optimal forage strategy is designed to guide the search direction for each bat and a random disturbance strategy is also employed to extend the global search pattern. To test the performance, CEC2013 benchmark test suit and four other evolutionary algorithms are employed to compare, simulation results show our odification is effective.

Original languageEnglish
Pages (from-to)205-214
Number of pages10
JournalInternational Journal of Bio-Inspired Computation
Volume8
Issue number4
DOIs
Publication statusPublished - 2016
MoE publication typeA1 Journal article-refereed

Keywords

  • Bat algorithm
  • Optimal forage strategy
  • Random disturbance strategy

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