Applying the COPRAS method for metaheuristic algorithm selection: The case of the economic dispatch problem

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dc.citation.epage216
dc.citation.rankM31
dc.citation.spage204
dc.citation.volume1
dc.contributor.authorGajić, Milena
dc.contributor.authorArsić, Sanela
dc.date.accessioned2025-12-01T12:32:49Z
dc.date.available2025-12-01T12:32:49Z
dc.date.issued2025
dc.description.abstractIn 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.
dc.identifier.isbn978-963-449-384-6
dc.identifier.urihttps://meb.kgk.uni-obuda.hu/files/MEB_2025_proceedings_1.pdf
dc.identifier.urihttps://repozitorijum.tfbor.bg.ac.rs/handle/123456789/6031
dc.language.isoen
dc.publisherObuda University, Keleti Faculty of Business and Management, Budapest, Hungary
dc.rights.licenseARR
dc.rights.uriAll rights reserved
dc.sourceMEB 2025 - 23rd International Conference on Management, Enterprise, Benchmarking. Proceedings I, 4. April, 2025, Budapest, Hungary
dc.subjectmetaheuristics
dc.subjecteconomic dispatch
dc.subjectMCDM
dc.subjectCOPRAS method
dc.subjectEDAS method
dc.titleApplying the COPRAS method for metaheuristic algorithm selection: The case of the economic dispatch problem
dc.typeconferenceObject
dc.type.versionpublishedVersion

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