From post

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)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Gaining-Sharing Knowledge Based Algorithm With Adaptive Parameters for Engineering Optimization., , , и . IEEE Access, (2021)Generalized Adaptive Differential Evolution algorithm for Solving CEC 2020 Benchmark Problems., , и . NILES, стр. 391-396. IEEE, (2020)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)Differential Evolution Mutations: Taxonomy, Comparison and Convergence Analysis., , и . IEEE Access, (2021)Real-Parameter Unconstrained Optimization Based on Enhanced AGDE Algorithm., и . Machine Learning Paradigms, том 801 из Studies in Computational Intelligence, Springer, (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)Adaptive guided differential evolution algorithm with novel mutation for numerical optimization., и . Int. J. Mach. Learn. Cybern., 10 (2): 253-277 (2019)Evaluating the performance of meta-heuristic algorithms on CEC 2021 benchmark problems., , , , и . Neural Comput. Appl., 35 (2): 1493-1517 (2023)