A bi-population QUasi-Affine TRansformation Evolution algorithm for global optimization and its application to dynamic deployment in wireless sensor networks Article Swipe
Nengxian Liu
,
Jeng‐Shyang Pan
,
Trong-The Nguyen
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1186/s13638-019-1481-6
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1186/s13638-019-1481-6
In this paper, we propose a new Bi-Population QUasi-Affine TRansformation Evolution (BP-QUATRE) algorithm for global optimization. The proposed BP-QUATRE algorithm divides the population into two subpopulations with sort strategy, and each subpopulation adopts a different mutation strategy to keep the balance between the fast convergence and population diversity. What is more, the proposed BP-QUATRE algorithm dynamically adjusts scale factor with a linear decrease strategy to make a good balance between exploration and exploitation capability. We compare the proposed algorithm with two QUATRE variants, PSO-IW, and DE algorithms on the CEC2013 test suite. The experimental results demonstrate that the proposed BP-QUATRE algorithm outperforms the competing algorithms. We also apply the proposed algorithm to dynamic deployment in wireless sensor networks. The simulation results show that the proposed BP-QUATRE algorithm has better coverage rate than the other competing algorithms.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s13638-019-1481-6
- https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-019-1481-6
- OA Status
- gold
- Cited By
- 31
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2953610570
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- OpenAlex ID
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https://openalex.org/W2953610570Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1186/s13638-019-1481-6Digital Object Identifier
- Title
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A bi-population QUasi-Affine TRansformation Evolution algorithm for global optimization and its application to dynamic deployment in wireless sensor networksWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-07-05Full publication date if available
- Authors
-
Nengxian Liu, Jeng‐Shyang Pan, Trong-The NguyenList of authors in order
- Landing page
-
https://doi.org/10.1186/s13638-019-1481-6Publisher landing page
- PDF URL
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https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-019-1481-6Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-019-1481-6Direct OA link when available
- Concepts
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Computer science, Algorithm, Population, Convergence (economics), Transformation (genetics), Wireless sensor network, Affine transformation, Mathematical optimization, Mathematics, Computer network, Economic growth, Sociology, Pure mathematics, Biochemistry, Economics, Gene, Chemistry, DemographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
31Total citation count in OpenAlex
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2024: 2, 2023: 3, 2022: 5, 2021: 9, 2020: 11Per-year citation counts (last 5 years)
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40Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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