An Improved Slime Mold Algorithm and its Application for Optimal Operation of Cascade Hydropower Stations Article Swipe
Trong-The Nguyen
,
Hongjiang Wang
,
Thi-Kien Dao
,
Jeng‐Shyang Pan
,
Jianhua Liu
,
Shaowei Weng
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/access.2020.3045975
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/access.2020.3045975
A recently modern stochastic optimization algorithm has been developed by observing the life of slime mold physarum polycephalum in nature. The algorithm is called the slime mold algorithm (SMA) with an excellent exploratory capacity and exploitation inclination. Still, slipping into optimal local is easy to happen and slowly converges speed while dealing with complicated problems. This article proposes a new process of improving SMA (namely ISMA) by adapting the weight coefficient and cooperating the reverse learning strategy in the expression of agents updating locations to enhance the algorithm's optimization performance. Many selected benchmark functions and the optimal operation of cascade reservoirs are applied to evaluate the performance of the proposed algorithm. Comparisons of the proposed approach's results with the various algorithms under the case situations show that the recommended solution produces better performance than the different competing algorithms.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2020.3045975
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/09300231.pdf
- OA Status
- gold
- Cited By
- 53
- References
- 70
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3115690494
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3115690494Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2020.3045975Digital Object Identifier
- Title
-
An Improved Slime Mold Algorithm and its Application for Optimal Operation of Cascade Hydropower StationsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Trong-The Nguyen, Hongjiang Wang, Thi-Kien Dao, Jeng‐Shyang Pan, Jianhua Liu, Shaowei WengList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2020.3045975Publisher landing page
- PDF URL
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/09300231.pdfDirect 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
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/09300231.pdfDirect OA link when available
- Concepts
-
Slime mold, Computer science, Cascade, Physarum polycephalum, Benchmark (surveying), Algorithm, Mathematical optimization, Process (computing), Mathematics, Engineering, Biology, Chemical engineering, Geodesy, Operating system, Geography, Cell biologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
53Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 6, 2024: 7, 2023: 12, 2022: 23, 2021: 5Per-year citation counts (last 5 years)
- References (count)
-
70Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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