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Evaluating the performance of meta-heuristic algorithms on CEC 2021 benchmark problems.

, , , , and . Neural Comput. Appl., 35 (2): 1493-1517 (2023)

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Parametrized Benchmarking: an outline of the idea and a feasibility study., , and . GECCO Companion, page 197-198. ACM, (2020)Gaining-Sharing Knowledge Based Algorithm with Adaptive Parameters Hybrid with IMODE Algorithm for Solving CEC 2021 Benchmark Problems., , , , and . CEC, page 841-848. IEEE, (2021)Analytical Model of Enhancing Traffic Performance Based on Weighted Nodes., , , and . UKSim, page 337-342. IEEE Computer Society, (2016)Evaluating the Performance of Adaptive GainingSharing Knowledge Based Algorithm on CEC 2020 Benchmark Problems., , , and . CEC, page 1-8. IEEE, (2020)Gaining-Sharing Knowledge Based Algorithm With Adaptive Parameters for Engineering Optimization., , , and . IEEE Access, (2021)LSHADE with semi-parameter adaptation hybrid with CMA-ES for solving CEC 2017 benchmark problems., , , and . CEC, page 145-152. IEEE, (2017)Generalized Adaptive Differential Evolution algorithm for Solving CEC 2020 Benchmark Problems., , and . NILES, page 391-396. IEEE, (2020)Novel mutation strategy for enhancing SHADE and LSHADE algorithms for global numerical optimization., , and . Swarm Evol. Comput., (2019)Differential Evolution Mutations: Taxonomy, Comparison and Convergence Analysis., , and . IEEE Access, (2021)Improved Recommender for Location Privacy Preferences., and . Computer and Information Science, 8 (4): 64-76 (2015)