20.500.12556/DKUM-95631 Performance comparison of single-objective evolutionary algorithms implemented in different frameworks Fair comparison with state-of-the-art evolutionary algorithms is crucial, but is obstructed by differences in problems, parameters, and stopping criteria across studies. Metaheuristic frameworks can help, but often lack clarity on algorithm versions, improvements, or deviations. Some also restrict parameter configuration. We analysed source codes and identified inconsistencies between implementations. Performance comparisons across frameworks, even with identical settings, revealed significant differences, sometimes even with the authors’ own code. This questions the validity of comparisons using such frameworks. We provide guidelines to improve open-source metaheuristics, aiming to support more credible and reliable comparative studies. metaheuristics evolutionary algorithm metaheuristic optimization framework algorithm comparison benchmarking metahevristični optimizacijski okvir metaheuristika evolucijski algoritmi primerjava algoritmov primerjalna analiza true false true Informatica Angleški jezik Slovenski jezik https://informatica.vu.lt/journal/INFORMATICA/article/1384/text Članek v reviji 2025-10-02 14:15:02 2025-10-02 14:15:03 2025-10-03 03:32:52 0000-00-00 00:00:00 2025 0 0 str. 677-712 iss. 3 Vol. 36 20245 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2024-12-01 2025-09-01 2025-09-16 004.45 250119171 10.15388/25-INFOR603 1822-8844 infor603_(1).pdf infor603_(1).pdf 1 9B13796479082B7D3EF92245A384E3DB 4b19ea9163b8a6c8b94ca241e9fae67648c1d5a7a6ca7f24957f715e40475f30 f503dc58-9f89-11f0-9873-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=199523 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0