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Enhanced Directed Differential Evolution Algorithm for Solving Constrained Engineering Optimization Problems., , , и . Int. J. Appl. Metaheuristic Comput., 10 (1): 1-28 (2019)Gaining-Sharing Knowledge Based Algorithm with Adaptive Parameters Hybrid with IMODE Algorithm for Solving CEC 2021 Benchmark Problems., , , , и . CEC, стр. 841-848. IEEE, (2021)Enhancing AGDE Algorithm Using Population Size Reduction for Global Numerical Optimization., , , и . AMLTA, том 723 из Advances in Intelligent Systems and Computing, стр. 62-72. Springer, (2018)Evaluating the Performance of Adaptive GainingSharing Knowledge Based Algorithm on CEC 2020 Benchmark Problems., , , и . CEC, стр. 1-8. IEEE, (2020)Differential Evolution Mutations: Taxonomy, Comparison and Convergence Analysis., , и . IEEE Access, (2021)Solving Constrained Non-linear Integer and Mixed-Integer Global Optimization Problems Using Enhanced Directed Differential Evolution Algorithm., , , и . Machine Learning Paradigms, том 801 из Studies in Computational Intelligence, Springer, (2019)Generalized Adaptive Differential Evolution algorithm for Solving CEC 2020 Benchmark Problems., , и . NILES, стр. 391-396. IEEE, (2020)Machine Learning and Deep Learning for Predicting Indoor and Outdoor IoT Temperature Monitoring Systems., , , , и . IoTaaS, том 421 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 185-197. Springer, (2021)A Novel Dual Prediction Scheme for Data Communication Reduction in IoT-Based Monitoring Systems., , , , и . IoTaaS, том 421 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 208-220. Springer, (2021)Usages of Spark Framework with Different Machine Learning Algorithms., , и . Comput. Intell. Neurosci., (2021)