An Optimal Differential Vector Incorporated Whale Optimizer

Jiatianyi Yu, Haichuan Yang, Baohang Zhang, Shibo Dong, Shangce Gao*

*Corresponding author for this work

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

1 Scopus citations

Abstract

The whale optimization algorithm (WOA) is one of the more classic optimization algorithms, which derived from the hunting actions of whale. While WOA is well suited to exploitation, this also leads to a low level of exploration capability, making it difficult to break out of the local optimum. In this study, by incorporating the optimal differential vector in an effective whale optimizer, we propose a differential perturbation operation to break out of the local optimum namely differential vector whale optimization algorithm (DVWOA). According to experimental results based on IEEE CEC2017 benchmark functions, DVWOA is beneficial in the aspects of global search, convergence speed, and population diversity.

Original languageEnglish
Title of host publicationProceedings - 2022 15th International Symposium on Computational Intelligence and Design, ISCID 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6-10
Number of pages5
ISBN (Electronic)9781665456166
DOIs
StatePublished - 2022
Event15th International Symposium on Computational Intelligence and Design, ISCID 2022 - Hangzhou, China
Duration: 2022/12/172022/12/18

Publication series

NameProceedings - 2022 15th International Symposium on Computational Intelligence and Design, ISCID 2022

Conference

Conference15th International Symposium on Computational Intelligence and Design, ISCID 2022
Country/TerritoryChina
CityHangzhou
Period2022/12/172022/12/18

Keywords

  • differential vector
  • exploration and exploitation
  • local optimum
  • whale optimization algorithm

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Modeling and Simulation

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