Simpler and Enhanced Multifactorial Evolutionary Algorithms for Continuous Optimization Tasks

Yangyang Chang; Gerald E. Sobelman

doi:10.1109/IoTaIS53735.2021.9628714

Simpler and Enhanced Multifactorial Evolutionary Algorithms for Continuous Optimization Tasks

Yangyang Chang, Gerald E. Sobelman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 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 language	English (US)
Title of host publication	Proceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	62-66
Number of pages	5
ISBN (Electronic)	9781665420358
DOIs	https://doi.org/10.1109/IoTaIS53735.2021.9628714
State	Published - 2021
Externally published	Yes
Event	2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021 - Virtual, Bandung, Indonesia Duration: Nov 23 2021 → Nov 24 2021

Publication series

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

Conference

Conference	2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021
Country/Territory	Indonesia
City	Virtual, Bandung
Period	11/23/21 → 11/24/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

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

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10.1109/IoTaIS53735.2021.9628714

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Chang, Y., & Sobelman, G. E. (2021). Simpler and Enhanced Multifactorial Evolutionary Algorithms for Continuous Optimization Tasks. In Proceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021 (pp. 62-66). (Proceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IoTaIS53735.2021.9628714

Simpler and Enhanced Multifactorial Evolutionary Algorithms for Continuous Optimization Tasks. / Chang, Yangyang; Sobelman, Gerald E.
Proceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 62-66 (Proceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chang, Y & Sobelman, GE 2021, Simpler and Enhanced Multifactorial Evolutionary Algorithms for Continuous Optimization Tasks. in Proceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021. Proceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021, Institute of Electrical and Electronics Engineers Inc., pp. 62-66, 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021, Virtual, Bandung, Indonesia, 11/23/21. https://doi.org/10.1109/IoTaIS53735.2021.9628714

Chang Y, Sobelman GE. Simpler and Enhanced Multifactorial Evolutionary Algorithms for Continuous Optimization Tasks. In Proceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 62-66. (Proceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021). doi: 10.1109/IoTaIS53735.2021.9628714

Chang, Yangyang ; Sobelman, Gerald E. / Simpler and Enhanced Multifactorial Evolutionary Algorithms for Continuous Optimization Tasks. Proceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 62-66 (Proceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021).

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Simpler and Enhanced Multifactorial Evolutionary Algorithms for Continuous Optimization Tasks

Abstract

Publication series

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Bibliographical note

Keywords

Access

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