A Novel Backtracking Search with Grey Wolf Algorithm for Optimization

Dongbao Jia, Yining Tong, Yang Yu, Zonghui Cai, Shangce Gao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Backtracking search optimization algorithm (BSA) is a new evolutionary algorithm. It is a population-based evolutionary algorithm designed to solve global optimization problems. It has a similar structure to differential evolution, including selection, mutation and crossover processes. This structure guarantees that BSA can utilize the information of the whole population and maintain the population diversity in a high level. While all these operations are randomly executed and have no directionality, which makes BSA can't direct the individuals to search the region that has been detected to be promising with better solutions. Thus, we combine BSA with grey wolf optimization to provide search motivation towards the better individuals. The experiment results on CEC'17 benchmark suit indicate the feasibility of this combination.

Original languageEnglish
Title of host publicationProceedings - 2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages73-76
Number of pages4
ISBN (Electronic)9781538658369
DOIs
StatePublished - 2018/11/09
Event10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2018 - Hangzhou, China
Duration: 2018/08/252018/08/26

Publication series

NameProceedings - 2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2018
Volume1

Conference

Conference10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2018
Country/TerritoryChina
CityHangzhou
Period2018/08/252018/08/26

Keywords

  • Backtracking search optimization algorithm
  • computational intelligence
  • grey Wolf algorithm
  • optimization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Computational Mathematics
  • Control and Optimization
  • Computer Science Applications

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