Chaos-enhanced white shark optimization algorithms CWSO for global optimization Article Swipe
Ahmed El Maloufy
,
Ahmed Bencherqui
,
Mohamed Amine Tahiri
,
Nawal El Ghouate
,
Hicham Karmouni
,
Mhamed Sayyouri
,
Sameh Askar
,
Mohamed Abouhawwash
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.aej.2025.02.061
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.aej.2025.02.061
Metaheuristic optimization algorithms are vital across various domains but often struggle with convergence to local optima, limiting their potential to discover globally optimal solutions. Integrating chaotic maps into the optimization process has proven particularly advantageous, as it broadens search capabilities, accelerates convergence, and reduces the likelihood of getting trapped in local minima. We present an optimized algorithm, the Chaotic White Shark Optimizer (CWSO), which incorporates ten different chaotic maps to replace random sequences in key components of the standard White Shark Optimizer (WSO). This modification aims to effectively balance the exploration and exploitation phases, thereby enhancing the probability of finding globally optimal solutions. The CWSO was evaluated on 23 benchmark functions and applied to engineering problems, demonstrating its robustness and reliability. Furthermore, it was used for reconstructing signals and 2D/3D medical images. Comparative evaluations with six well-known metaheuristic algorithms showed that the CWSO outperformed the original WSO and other existing algorithms, offering superior performance in terms of solution quality, global optimality, and avoiding local minima.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.aej.2025.02.061
- OA Status
- gold
- Cited By
- 6
- References
- 55
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408542631
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https://openalex.org/W4408542631Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.aej.2025.02.061Digital Object Identifier
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Chaos-enhanced white shark optimization algorithms CWSO for global optimizationWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-03-18Full publication date if available
- Authors
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Ahmed El Maloufy, Ahmed Bencherqui, Mohamed Amine Tahiri, Nawal El Ghouate, Hicham Karmouni, Mhamed Sayyouri, Sameh Askar, Mohamed AbouhawwashList of authors in order
- Landing page
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https://doi.org/10.1016/j.aej.2025.02.061Publisher landing page
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.aej.2025.02.061Direct OA link when available
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Optimization algorithm, CHAOS (operating system), Global optimization, Algorithm, Mathematical optimization, Computer science, Mathematics, Computer securityTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2025: 6Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.discover | 20 |
| abstract_inverted_index.existing | 149 |
| abstract_inverted_index.globally | 21, 100 |
| abstract_inverted_index.limiting | 16 |
| abstract_inverted_index.offering | 151 |
| abstract_inverted_index.original | 145 |
| abstract_inverted_index.quality, | 158 |
| abstract_inverted_index.solution | 157 |
| abstract_inverted_index.standard | 78 |
| abstract_inverted_index.struggle | 10 |
| abstract_inverted_index.superior | 152 |
| abstract_inverted_index.Optimizer | 61, 81 |
| abstract_inverted_index.benchmark | 109 |
| abstract_inverted_index.different | 66 |
| abstract_inverted_index.enhancing | 95 |
| abstract_inverted_index.evaluated | 106 |
| abstract_inverted_index.functions | 110 |
| abstract_inverted_index.optimized | 55 |
| abstract_inverted_index.potential | 18 |
| abstract_inverted_index.problems, | 115 |
| abstract_inverted_index.sequences | 72 |
| abstract_inverted_index.algorithm, | 56 |
| abstract_inverted_index.algorithms | 2, 138 |
| abstract_inverted_index.components | 75 |
| abstract_inverted_index.likelihood | 45 |
| abstract_inverted_index.robustness | 118 |
| abstract_inverted_index.solutions. | 23, 102 |
| abstract_inverted_index.well-known | 136 |
| abstract_inverted_index.Comparative | 132 |
| abstract_inverted_index.Integrating | 24 |
| abstract_inverted_index.accelerates | 40 |
| abstract_inverted_index.algorithms, | 150 |
| abstract_inverted_index.convergence | 12 |
| abstract_inverted_index.effectively | 87 |
| abstract_inverted_index.engineering | 114 |
| abstract_inverted_index.evaluations | 133 |
| abstract_inverted_index.exploration | 90 |
| abstract_inverted_index.optimality, | 160 |
| abstract_inverted_index.performance | 153 |
| abstract_inverted_index.probability | 97 |
| abstract_inverted_index.Furthermore, | 121 |
| abstract_inverted_index.convergence, | 41 |
| abstract_inverted_index.exploitation | 92 |
| abstract_inverted_index.incorporates | 64 |
| abstract_inverted_index.modification | 84 |
| abstract_inverted_index.optimization | 1, 29 |
| abstract_inverted_index.outperformed | 143 |
| abstract_inverted_index.particularly | 33 |
| abstract_inverted_index.reliability. | 120 |
| abstract_inverted_index.Metaheuristic | 0 |
| abstract_inverted_index.advantageous, | 34 |
| abstract_inverted_index.capabilities, | 39 |
| abstract_inverted_index.demonstrating | 116 |
| abstract_inverted_index.metaheuristic | 137 |
| abstract_inverted_index.reconstructing | 126 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 98 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 8 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.4099999964237213 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.99417893 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |