Fashion Designer Algorithm: A Human-creativity Inspired Parameter-free Metaheuristic for Optimization Tasks
Bektemyssova G. Montazeri Z. Dehghani M. Ibraheem I.K. Smerat A. Malik O.P. Al-Salih A.A.M.M. Ahmed M.A. Eguchi K.
30 November 2025Intelligent Network and Systems Society
International Journal of Intelligent Engineering and Systems
2025#18Issue 10778 - 793 pp.
A novel metaheuristic optimization algorithm, the Fashion Designer Algorithm (FDA), inspired by the adaptive and creative strategies employed in fashion design is presented in this paper. FDA models the design process as interactions among candidate solutions, integrating mechanisms such as imitation, innovation, and iterative refinement to effectively explore complex search spaces. The core novelty of FDA lies in its parameter-free structure, which enables an intrinsic balance between exploration and exploitation without the need for manual tuning, setting it apart from traditional population-based optimization methods. To rigorously validate its performance, extensive simulation studies have been conducted on 23 benchmark functions, covering unimodal, high-dimensional multimodal, and fixed-dimensional multimodal problems. FDA is compared against nine state-of-the-art metaheuristics, using multiple statistical criteria including mean, best, worst, standard deviation, median, and ranking over 20 independent runs per function. The results indicate that FDA consistently achieves superior convergence accuracy, robustness, and stability, particularly in high-dimensional and complex landscapes. Boxplot analyses further demonstrate reduced variability and tighter result distributions compared to competing algorithms. The algorithm’s adaptability and creativity-inspired search paradigm make it a highly effective tool for continuous optimization tasks. In addition to providing a new framework for population-based optimization, FDA opens promising avenues for future research.
Exploration-exploitation , Fashion designer algorithm , High-dimensional , Metaheuristic , Optimization , Parameter-free
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Department of Computer Engineering, International Information Technology University, Almaty, 050000, Kazakhstan
Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, 7155713876, Iran
Department of Electrical Engineering, College of Engineering, University of Baghdad, Baghdad, 10001, Iraq
Department of Electrical Engineering Techniques, Al Hikma University College, Baghdad, 10001, Iraq
Faculty of Educational Sciences, Al-Ahliyya Amman University, Amman, 19328, Jordan
Centre for Research Impact and Outcome, Chitkara University, Punjab, India
Department of Electrical and Software Engineering, University of Calgary, Calgary, T2N 1N4, AB, Canada
Department of Computer Engineering Techniques, Al-Nukhba University College, Baghdad, 10013, Iraq
Department of Medical Instrumentation Techniques Engineering, College of Medical Techniques, Al-Farahidi University, Baghdad, 10001, Iraq
Department of Information Electronics, Fukuoka Institute of Technology, Japan
Department of Computer Engineering
Department of Electrical and Electronics Engineering
Department of Electrical Engineering
Department of Electrical Engineering Techniques
Faculty of Educational Sciences
Centre for Research Impact and Outcome
Department of Electrical and Software Engineering
Department of Computer Engineering Techniques
Department of Medical Instrumentation Techniques Engineering
Department of Information Electronics
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