Research Article

Metaheuristic Optimization in Structural Engineering Design and Analysis: A Survey

Authors

Behera Janardan * Department of Statistics, Ravenshaw University, Cuttack, 753003, Odisha, India.
Kharabela Swain Institute of Applied Sciences, Mangalayatan University, Aligarh-202146, India.

https://doi.org/10.48313/maa.vi.64

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Abstract

This paper presents a comprehensive review of metaheuristic algorithms across engineering disciplines over the period 2000-2025. We systematically analyze the literature on metaheuristic algorithms and their applications to structural design, power systems, control, manufacturing, aerospace, p. The review covers approximately 192 papers, providing a structured taxonomy of algorithms, applications, and evaluation methodologies. We identify key trends including the shift toward hybrid approaches, integration of Machine Learning (ML), and growing emphasis on explainability. The survey reveals that constraint handling, multi-objectivity, real-time, scalability, robust remain significant open problems. We provide detailed analysis of evaluation protocols, benchmark suites, and statistical methodologies. Future research directions include hybrid algorithm design, quantum-inspired methods, and standardized benchmarking frameworks.

Keywords

Metaheuristic optimization Engineering Review Survey Structural design Power systems Contro

References (16)

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Published 2024-06-17
Issue Vol. 1 No. 2 (2024): Metaheuristic Algorithms with Applications
Section Articles
Document Type Research Article
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How to Cite

Janardan, B. ., & Swain, K. . (2024). Metaheuristic Optimization in Structural Engineering Design and Analysis: A Survey. Metaheuristic Algorithms With Applications, 1(2), 171-180. https://doi.org/10.48313/maa.vi.64

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