| Title: | Attraction basins in metaheuristics: a systematic mapping study |
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| Authors: | ID Baketarić, Mihael (Author)
ID Mernik, Marjan (Author)
ID Kosar, Tomaž (Author) |
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| Files: |  mathematics-09-03036.pdf (5,97 MB)
MD5: E2B9107BDE45966301CA49BFD9A3E8D7
 https://www.mdpi.com/2227-7390/9/23/3036
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.02 - Review Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Abstract: | Context: In this study, we report on a Systematic Mapping Study (SMS) for attraction
basins in the domain of metaheuristics. Objective: To identify research trends, potential issues,
and proposed solutions on attraction basins in the field of metaheuristics. Research goals were
inspired by the previous paper, published in 2021, where attraction basins were used to measure
exploration and exploitation. Method: We conducted the SMS in the following steps: Defining research
questions, conducting the search in the ISI Web of Science and Scopus databases, full-text screening,
iterative forward and backward snowballing (with ongoing full-text screening), classifying, and data
extraction. Results: Attraction basins within discrete domains are understood far better than those
within continuous domains. Attraction basins on dynamic problems have hardly been investigated.
Multi-objective problems are investigated poorly in both domains, although slightly more often
within a continuous domain. There is a lack of parallel and scalable algorithms to compute attraction
basins and a general framework that would unite all different definitions/implementations used
for attraction basins. Conclusions: Findings regarding attraction basins in the field of metaheuristics
reveal that the concept alone is poorly exploited, as well as identify open issues where researchers
may improve their research. |
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| Keywords: | attraction basin, systematic mapping study, systematic review, metaheuristics |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 28.10.2021 |
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| Article acceptance date: | 22.11.2021 |
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| Publication date: | 26.11.2021 |
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| Publisher: | MDPI AG |
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| Year of publishing: | 2021 |
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| Number of pages: | 25 str. |
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| Numbering: | Vol. 9, iss. 23 |
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| PID: | 20.500.12556/DKUM-93180  |
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| UDC: | 004.45 |
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| ISSN on article: | 2227-7390 |
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| COBISS.SI-ID: | 87688195 |
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| DOI: | 10.3390/math9233036 |
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| Copyright: | © 2021 by the authors
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| Publication date in DKUM: | 16.06.2025 |
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| Views: | 184 |
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| Downloads: | 13 |
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| Metadata: |    |
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| Categories: | Misc.
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