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Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling.

, , , and . CEC, page 1-8. IEEE, (2022)

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Empirical analysis of schemata in Genetic Programming using maximal schemata and MSG., and . IEEE Congress on Evolutionary Computation, page 2983-2990. IEEE, (2008)A novel hybrid data-driven model for multi-input single-output system simulation., , , , , , , , , and 1 other author(s). Neural Comput. Appl., 29 (7): 577-593 (2018)Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification., , and . ACM Trans. Knowl. Discov. Data, 13 (5): 50:1-50:27 (2019)Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis., , and . Evol. Comput., 28 (4): 531-561 (2020)Human-Interpretable Feature Pattern Classification System Using Learning Classifier Systems., , , and . Evol. Comput., 22 (4): 629-650 (2014)Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection., , and . Inf. Sci., (2020)People-Centric Evolutionary System for Dynamic Production Scheduling., , , and . IEEE Trans. Cybern., 51 (3): 1403-1416 (2021)Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling., , , and . IEEE Trans. Cybern., 53 (7): 4473-4486 (2023)Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification., , and . IEEE Trans. Cybern., 51 (4): 1769-1783 (2021)A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation., , , and . IEEE Trans. Cybern., 51 (2): 589-603 (2021)