Multi-Objective Water Strider Algorithm for Complex Structural Optimization: A Comprehensive Performance Analysis Article Swipe
Kanak Kalita
,
N. Ganesh
,
Rama Chandran Narayanan
,
Pradeep Jangir
,
Diego Oliva
,
Marco Pérez‐Cisneros
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3386560
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3386560
For various daunting physical world structural optimization design problems, a novel multi-objective water strider algorithm (MOWSA) is proposed, and its non-dominated sorting (NDS) framework is explored. This effort is inspired by the recent proposals for the Water Strider Algorithm, a population-based mathematical paradigm focused on the lifespan of water strider insects. The crowding distance characteristic is integrated into MOWSA to improve the exploration and exploitation trade-off behavior during the advancement of the quest. Furthermore, the suggested a posteriori approach exercises the NDS technique to maintain population diversity, a key issue in meta-heuristics, especially for multi-objective optimization. Structural mass reduction and nodal deflection maximization are two diverse objectives for the posed design problems. At the same time, stress on the components and discrete cross-sectional areas are imposed on safety and side constraints, respectively. Eight planar and spatial truss design problems demonstrate the utility of the proposed MOWSA approach for solving complex problems where the performance analysis is based on ten globally accepted metrics. Moreover, MOWSA outcomes were compared with four state-of-the-art optimization techniques to measure the viability of the suggested algorithm. MOWSA outperforms other considered algorithms concerning computational run to achieve optimal solutions and their qualitative behavior over Pareto fronts. The Matlab code for MOWSA can be obtained from https://github.com/kanak02/MOWSA.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2024.3386560
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/10494835.pdf
- OA Status
- gold
- Cited By
- 17
- References
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- 10
- OpenAlex ID
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https://openalex.org/W4394627408Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2024.3386560Digital Object Identifier
- Title
-
Multi-Objective Water Strider Algorithm for Complex Structural Optimization: A Comprehensive Performance AnalysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Kanak Kalita, N. Ganesh, Rama Chandran Narayanan, Pradeep Jangir, Diego Oliva, Marco Pérez‐CisnerosList of authors in order
- Landing page
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https://doi.org/10.1109/access.2024.3386560Publisher landing page
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/10494835.pdfDirect link to full text PDF
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goldOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/10494835.pdfDirect OA link when available
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Computer science, Algorithm design, Optimization algorithm, Algorithm, Mathematical optimization, MathematicsTop concepts (fields/topics) attached by OpenAlex
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17Total citation count in OpenAlex
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2025: 14, 2024: 3Per-year citation counts (last 5 years)
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68Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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