Simpler and Enhanced Multifactorial Evolutionary Algorithms for Continuous Optimization Tasks

Yangyang Chang, Gerald E. Sobelman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Multifactorial optimization has become one of the most promising paradigms for evolutionary multitasking within the field of computational intelligence. This methodology can improve the performance results for multiple, simultaneous optimization problems by exploiting the transfer of genetic information between them. In this paper, we present an indepth analysis of this approach by considering several variations of the standard multifactorial evolutionary algorithm (MFEA). By using a simpler structure together with some enhanced operators, two new multifactorial evolutionary algorithms are proposed. We demonstrate that, compared with the traditional MFEA, our approach produces better results on a set of continuous optimization benchmark problems.

Original languageEnglish (US)
Title of host publicationProceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages62-66
Number of pages5
ISBN (Electronic)9781665420358
DOIs
StatePublished - 2021
Event2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021 - Virtual, Bandung, Indonesia
Duration: Nov 23 2021Nov 24 2021

Publication series

NameProceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021

Conference

Conference2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021
Country/TerritoryIndonesia
CityVirtual, Bandung
Period11/23/2111/24/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • continuous optimization problems
  • evolutionary computation
  • multifactorial evolutionary algorithm
  • multifactorial optimization
  • single-objective optimization

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