| Title: | Improving mutation strategies in differential evolution with a new pbest selection mechanism |
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| Authors: | ID Popič, Jan (Author)
ID Bošković, Borko (Author)
ID Brest, Janez (Author) |
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| Files: |  1-s2.0-S1568494625012918-main.pdf (3,09 MB)
MD5: 35CB2D388F8B34FE37466DA458FC8753
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Abstract: | Differential evolution, which belongs to a group of population-based algorithms, has received a lot of research attention since its introduction in 1995. A population-based algorithm is required to guide individuals to visit potentially better basins of attraction in the search space when searching for a globally optimal solution. Additionally, individuals need to interact with each other during an evolutionary process to explore the search space effectively. In this paper, we propose a novel pbest selection mechanism for DE/current-to-pbest mutation strategy and its variants designed to enhance the potential for exploration of different attraction basins. The proposed mechanism enforces a minimal distance between the selected pbest individual and all other better individuals. This means that possible candidates for the pbest individual, used in mutation, are further spaced apart. As a result, the likelihood that the new trial vector will be generated in a different attraction basin of the search space is increased. The mechanism is incorporated into the L-SHADE, jSO, and L-SRTDE algorithms, and its effectiveness is evaluated using CEC’24 benchmark functions. Experimental results demonstrate improvements in the performance of the selected algorithms, particularly in higher-dimensional problem instances. |
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| Keywords: | population-based algorithm, differential evolution, gobal optimization, mutation strategies, exploration–exploitation |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 11.06.2025 |
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| Article acceptance date: | 24.09.2025 |
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| Publication date: | 27.09.2025 |
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| Publisher: | Elsevier B.V. |
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| Year of publishing: | 2025 |
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| Number of pages: | 17 str. |
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| Numbering: | Vol. 185, part B, [article no.] 113978 |
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| PID: | 20.500.12556/DKUM-95839  |
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| UDC: | 004.8 |
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| ISSN on article: | 1872-9681 |
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| COBISS.SI-ID: | 255045123 |
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| DOI: | doi.org/10.1016/j.asoc.2025.113978 |
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| Copyright: | © 2025 The Authors |
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| Publication date in DKUM: | 29.10.2025 |
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| Views: | 254 |
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| Downloads: | 12 |
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| Metadata: |    |
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| Categories: | Misc.
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