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Dynamic Leader Sibha Algorithm (DLSA): A Novel Hierarchical Metaheuristic Approach for Solving Engineering Design Problems

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Bibliographic Details
Title: Dynamic Leader Sibha Algorithm (DLSA): A Novel Hierarchical Metaheuristic Approach for Solving Engineering Design Problems
Authors: El El-Sayed, Amel Ali Alhussan, Doaa Sami Khafaga, Amal H. Alharbi, Sarah A. Alzakari, Abdelaziz A. Abdelhamid, Abdelhameed Ibrahim, Marwa M. Eid
Source: Journal of Cybersecurity and Information Management. 16:120-133
Publisher Information: American Scientific Publishing Group (ASPG) LLC, 2025.
Publication Year: 2025
Description: We present a new metaheuristic optimization technique, the Dynamic Leader Sibha Algorithm (DLSA), based on the structured dynamics of the ‘Sibha’ (an Islamic tool). Using a hierarchical leader-follower framework, DLSA dynamically balances exploration and exploitation to resolve the difficulties of high dimensional and multimodal optimization. DLSA is applied to three well-known engineering problems, namely the Speed Reducer, Welded Beam, and Pressure Vesseldo, to tackle the objectives of minimizing the weight of these structures and achieving the desired results with regularity. Key results indicate that DLSA is faster in convergence, gives better quality solutions and is more robust among diverse problem domains. DLSA is an effective and reliable optimization tool that can readily be applied to solve real-world and complex engineering problems.
Document Type: Article
DOI: 10.54216/jcim.160110
Accession Number: edsair.doi...........2e9895d9e47f4f31a09f09c1e965d59e
Database: OpenAIRE
Description
Abstract:We present a new metaheuristic optimization technique, the Dynamic Leader Sibha Algorithm (DLSA), based on the structured dynamics of the ‘Sibha’ (an Islamic tool). Using a hierarchical leader-follower framework, DLSA dynamically balances exploration and exploitation to resolve the difficulties of high dimensional and multimodal optimization. DLSA is applied to three well-known engineering problems, namely the Speed Reducer, Welded Beam, and Pressure Vesseldo, to tackle the objectives of minimizing the weight of these structures and achieving the desired results with regularity. Key results indicate that DLSA is faster in convergence, gives better quality solutions and is more robust among diverse problem domains. DLSA is an effective and reliable optimization tool that can readily be applied to solve real-world and complex engineering problems.
DOI:10.54216/jcim.160110