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Differential evolution with multi-information guidance

Published: 06 July 2018 Publication History

Abstract

In this paper, we proposed a novel differential evolution (DE) variant with multi-information guidance. First, based on a rank-based method, the DE population is divided into three groups by using both of the fitness information and position information. Then three distinct combinations of mutation strategy and parameter settings are assigned to these three groups respectively. Last, a neighborhood search operator is conducted with the aim of using the neighborhood information. Experimental results on 22 well-known benchmark functions have shown the effectiveness of our approach.

References

[1]
Hui Wang, Shahryar Rahnamayan, Hui Sun, and Mahamed GH Omran. 2013. Gaussian bare-bones differential evolution. IEEE Transactions on Cybernetics 43, 2 (2013), 634--647.
[2]
Hui Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan, and Jeng-Shyang Pan. 2013. Diversity enhanced particle swarm optimization with neighborhood search. Information Sciences 223 (2013), 119--135.
[3]
Xinyu Zhou, Hui Wang, Mingwen Wang, and Jianyi Wan. 2017. Enhancing the modified artificial bee colony algorithm with neighborhood search. Soft Computing 21, 10 (2017), 2733--2743.
[4]
Xinyu Zhou, Zhijian Wu, Hui Wang, and Shahryar Rahnamayan. 2014. Enhancing differential evolution with role assignment scheme. Soft Computing 18, 11 (2014), 2209--2225.

Cited By

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  • (2024)DE-based resource allocation for D2D-assisted NOMA systemsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09266-728:4(3071-3082)Online publication date: 1-Feb-2024

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  1. Differential evolution with multi-information guidance

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    cover image ACM Conferences
    GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion
    July 2018
    1968 pages
    ISBN:9781450357647
    DOI:10.1145/3205651
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Publication History

    Published: 06 July 2018

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    Author Tags

    1. differential evolution
    2. multi-information guidance
    3. neighborhood search

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    • (2024)DE-based resource allocation for D2D-assisted NOMA systemsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09266-728:4(3071-3082)Online publication date: 1-Feb-2024

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