Applying the COPRAS method for metaheuristic algorithm selection: The case of the economic dispatch problem
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Date
2025
Authors
Gajić, Milena
Arsić, Sanela
Journal Title
Journal ISSN
Volume Title
Publisher
Obuda University, Keleti Faculty of Business and Management, Budapest, Hungary
Source
MEB 2025 - 23rd International Conference on Management, Enterprise, Benchmarking. Proceedings I, 4. April, 2025, Budapest, Hungary
Volume
1
Issue
Abstract
In recent literature, an increasing number of metaheuristic algorithms have been proposed for solving individual optimization problems. One such complex problem, widely studied and addressed with various algorithms, is the economic dispatch problem. Hence, this paper aims to establish a systematic approach for selecting the most suitable metaheuristic algorithm by employing the COPRAS (COmplex PRoportional ASsessment) method, a multi-criteria decision-making (MCDM) technique. The proposed methodology is applied to evaluate and rank five metaheuristic algorithms (MSA, FA, PSO, PSOGSA, and PSOCGSA) across four variants of the economic dispatch problem. The assessment considers multiple performance metrics, including best-obtained results, standard deviation, mean values, error rates, computation time, and convergence behaviour. To ensure the reliability of the ranking, the results were further validated using the EDAS method, confirming the robustness of the selection process. This study provides a structured framework for algorithm recommendation, aiding researchers and practitioners in choosing the most effective optimization approach for similar complex problems.
Description
Keywords
metaheuristics, economic dispatch, MCDM, COPRAS method, EDAS method
Citation
DOI
Scopus
ISSN
ISBN
978-963-449-384-6
License
ARR