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Improving the Convergence and Diversity in Differential Evolution Through a Stock Market Criterion., , , , , , и . EvoApplications, том 13224 из Lecture Notes in Computer Science, стр. 157-172. Springer, (2022)Improving the optimization performance by an adaptable design: A dynamic selection of operators via criteria-based matrix for evolutionary algorithms., , , , , , , и . CEC, стр. 1-8. IEEE, (2022)A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization., , , , , , , и . CEC, стр. 1-8. IEEE, (2023)Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution., , , , , , , и . SSCI, стр. 1547-1552. IEEE, (2023)Quasi-random Fractal Search (QRFS): A dynamic metaheuristic with sigmoid population decrement for global optimization., , , , , и . Expert Syst. Appl., (2024)Handling stagnation through diversity analysis: A new set of operators for evolutionary algorithms., , , , , , , и . CEC, стр. 1-7. IEEE, (2022)Population of Hyperparametric Solutions for the Design of Metaheuristic Algorithms: An Empirical Analysis of Performance in Particle Swarm Optimization., , , , и . MIC (2), том 14754 из Lecture Notes in Computer Science, стр. 292-305. Springer, (2024)Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic., , , , , , , и . CEC, стр. 1-8. IEEE, (2023)An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization., , , , , , и . CEC, стр. 1-8. IEEE, (2023)Comparison of Recent Metaheuristic Algorithms for Shape Detection in Images., , , и . Int. J. Comput. Intell. Syst., 13 (1): 1059-1071 (2020)