A Multimixed Strategy Improved Sparrow Search Algorithm and Its Application in TSP Article Swipe
Weizheng Li
,
Mengjian Zhang
,
Jing Zhang
,
Tao Qin
,
Wei Wei
,
Jing Yang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/8171164
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/8171164
Aiming at the shortcomings of the sparrow search algorithm (SSA), such as falling into local optimum and slow convergence speed, an improved sparrow search algorithm based on multimixed strategy (MISSA) is proposed in this paper. In the initial stage, the iterative chaotic mapping is used to initialize the population in order to improve the diversity of population. In the foraging stage, the golden sine algorithm and nonlinear convergence factor strategy are introduced to optimize the discoverer-follower model, which make search process more comprehensive and extensive for the discoverer. The elite opposition-based learning strategy is used to update the optimal solution and the population obtained in each iteration to improve the self-learning ability of the algorithm. To verify the rationality of the multimixed strategy selection and efficiency of the proposed algorithm, MISSA is compared with three derived single-strategy improved algorithms, other improved SSAs, and five typical swarm intelligence algorithms using ten basic benchmark functions and CEC 2014 function. The optimization results, diversity analysis, and Wilcoxon rank-sum test results certify that the proposed MISSA has better optimization accuracy, convergence speed, and robustness than other compared methods. Moreover, the practicability and feasibility of MISSA are verified by solving the traveling salesman problem (TSP).
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2022/8171164
- https://downloads.hindawi.com/journals/mpe/2022/8171164.pdf
- OA Status
- hybrid
- Cited By
- 5
- References
- 47
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4280652843
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- OpenAlex ID
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https://openalex.org/W4280652843Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2022/8171164Digital Object Identifier
- Title
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A Multimixed Strategy Improved Sparrow Search Algorithm and Its Application in TSPWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-05-18Full publication date if available
- Authors
-
Weizheng Li, Mengjian Zhang, Jing Zhang, Tao Qin, Wei Wei, Jing YangList of authors in order
- Landing page
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https://doi.org/10.1155/2022/8171164Publisher landing page
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https://downloads.hindawi.com/journals/mpe/2022/8171164.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://downloads.hindawi.com/journals/mpe/2022/8171164.pdfDirect OA link when available
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Mathematical optimization, Population, Algorithm, Benchmark (surveying), Computer science, Mathematics, Demography, Geography, Geodesy, SociologyTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
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2025: 2, 2024: 2, 2023: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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