Diversity Teams in Soccer League Competition Algorithm for Wireless Sensor Network Deployment Problem Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.3390/sym12030445
The drawback of several metaheuristic algorithms is the dropped local optimal trap in the solution to complicated problems. The diversity team is one of the promising ways to enhance the exploration of searching solutions in algorithm to avoid the local optimum trap. This paper proposes a diversity-team soccer league competition algorithm (DSLC) based on updating team member strategies for global optimization and its applied optimization of Wireless sensor network (WSN) deployment. The updating team consists of trading, drafting, and combining strategies. The trading strategy considers player transactions between groups after the ending season. The drafting strategy takes advantage of draft principles in real leagues to bring new players to the association. The combining strategy is a hybrid policy of trading and drafting one. Twenty-one benchmark functions of CEC2017 are used to test the performance of the proposed algorithm. The experimental results of the proposed algorithm compared with the other algorithms in the literature show that the proposed algorithm outperforms the competitors in terms of having an excellent ability to achieve global optimization. Moreover, the proposed DSLC algorithm is applied to solve the problem of WSN deployment and achieved excellent results.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/sym12030445
- https://www.mdpi.com/2073-8994/12/3/445/pdf?version=1585296570
- OA Status
- gold
- Cited By
- 18
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3012460199
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3012460199Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/sym12030445Digital Object Identifier
- Title
-
Diversity Teams in Soccer League Competition Algorithm for Wireless Sensor Network Deployment ProblemWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-03-10Full publication date if available
- Authors
-
Yu Qiao, Thi-Kien Dao, Jeng‐Shyang Pan, Shu‐Chuan Chu, Trong-The NguyenList of authors in order
- Landing page
-
https://doi.org/10.3390/sym12030445Publisher landing page
- PDF URL
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https://www.mdpi.com/2073-8994/12/3/445/pdf?version=1585296570Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2073-8994/12/3/445/pdf?version=1585296570Direct OA link when available
- Concepts
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Computer science, Software deployment, Benchmark (surveying), League, Algorithm, Competitor analysis, Wireless sensor network, Competition (biology), Computer network, Business, Marketing, Physics, Geodesy, Geography, Biology, Ecology, Operating system, AstronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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18Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 2, 2023: 2, 2022: 6, 2021: 4Per-year citation counts (last 5 years)
- References (count)
-
45Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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