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A hybridization of teaching-learning-based optimization and differential evolution for chaotic time series prediction.

, , , , , , and . Neural Comput. Appl., 25 (6): 1407-1422 (2014)

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A Double Learning Models-Based Multi-Objective Estimation of Distribution Algorithm., , and . IEEE Access, (2019)An improved sine-cosine algorithm with dynamic selection pressure., , , , , and . J. Comput. Sci., (2021)Cuckoo search algorithm with dynamic feedback information., , , , and . Future Gener. Comput. Syst., (2018)The performance comparison of a new version of artificial raindrop algorithm on global numerical optimization., , , , and . Neurocomputing, (2016)Velocity-Driven Particle Swarm Optimization., , , and . ICCPR, page 9-16. ACM, (2019)A novel cuckoo search algorithm with multiple update rules., , , and . Appl. Intell., 48 (11): 4192-4211 (2018)An efficient multi-objective artificial raindrop algorithm and its application to dynamic optimization problems in chemical processes., , , , , and . Appl. Soft Comput., (2017)An Improved Genetic Transmission and Dynamic-Opposite Learning Strategy for Multitasking Optimization., , , , , and . IEEE Access, (2021)Multi-objective differential evolution with dynamic covariance matrix learning for multi-objective optimization problems with variable linkages., , , , , , , , , and . Knowl. Based Syst., (2017)A Self-adaptive Single-Objective Multitasking Optimization Algorithm., , , , and . BIC-TA, volume 1801 of Communications in Computer and Information Science, page 117-130. Springer, (2022)