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Architecture evolution of convolutional neural network using monarch butterfly optimization., , and . J. Ambient Intell. Humaniz. Comput., 14 (9): 12257-12271 (2023)Hybrid bio-inspired user clustering for the generation of diversified recommendations., , , , and . Neural Comput. Appl., 32 (7): 2487-2506 (2020)Hierarchical learning particle swarm optimization using fuzzy logic., , and . Expert Syst. Appl., (December 2023)Improving evolutionary algorithms with information feedback model for large-scale many-objective optimization., , and . Appl. Intell., 53 (10): 11439-11473 (May 2023)Comparison of Two Swarm Intelligence Algorithms: From the Viewpoint of Learning., , , , , and . ICIC (3), volume 10956 of Lecture Notes in Computer Science, page 821-827. Springer, (2018)Enhancing MOEA/D with information feedback models for large-scale many-objective optimization., , , , , and . Inf. Sci., (2020)A Multi-Stage Krill Herd Algorithm for Global Numerical Optimization., , , and . Int. J. Artif. Intell. Tools, 25 (2): 1550030:1-1550030:17 (2016)Hybrid krill herd algorithm with differential evolution for global numerical optimization., , , and . Neural Comput. Appl., 25 (2): 297-308 (2014)A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor., , , and . J. Supercomput., 73 (3): 1235-1256 (2017)A New Swarm Intelligence Approach for Clustering Based on Krill Herd with Elitism Strategy., , and . Algorithms, 8 (4): 951-964 (2015)