Authors:
Saman M. Almufti, Awaz Ahmed Shaban

Addresses:
Department of Information Technology, Akre Technical College of Informatics, Akre University for Applied Sciences, Akre, Duhok, Iraq.

Abstract:

Optimisation plays a pivotal role across science, engineering, and computational disciplines, serving as the foundation for designing efficient systems and solving complex decision-making problems. While benchmark optimisation functions provide standardised and controlled environments for testing new algorithms, real-world applications introduce uncertainties, high dimensionality, and intricate constraints that benchmarks cannot fully capture. This paper presents a comparative analysis of benchmark optimisation functions and real-world optimisation applications, focusing on their mathematical formulations, algorithmic challenges, and performance evaluation. Case studies in vehicle dynamics (ABS braking optimisation), finite element model updating (FEMU using Derringer’s function), and crane-load optimal control are examined to illustrate the transition from synthetic benchmarks to practical engineering domains. The findings reveal that although benchmark functions are indispensable for preliminary testing, real-world problems demand adaptive, robust, and hybrid metaheuristic strategies to address nonlinearities, noise, and operational constraints. The paper contributes by bridging theoretical and practical perspectives, emphasising the importance of parameter transferability, error reduction, and algorithm customisation in achieving reliable optimisation outcomes.

Keywords: Benchmark Optimisation; Real-World Applications; Metaheuristic Algorithms; Finite Element Model Updating (FEMU); Vehicle Dynamics; ABS Braking; Crane-Load Control.

Received on: 06/06/2024, Revised on: 15/08/2024, Accepted on: 20/10/2024, Published on: 09/06/2025

DOI: 10.69888/FTSES.2025.000417

FMDB Transactions on Sustainable Energy Sequence, 2025 Vol. 3 No. 1, Pages: 51-61

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