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Application of the hardness theory when solving the timetabling problem with genetic algorithms.

, , and . CEC, page 604-611. IEEE, (1999)

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Selecting meta-heuristics for solving vehicle routing problems with time windows via meta-learning., , , and . Expert Syst. Appl., (2019)MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines., , , , and . IEEE Comput. Intell. Mag., 13 (2): 18-29 (2018)CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search., , , , and . SoftwareX, (2020)Hyper-Heuristics to customise metaheuristics for continuous optimisation., , , , , and . Swarm Evol. Comput., (2021)Cluster validation using an ensemble of supervised classifiers., , , , and . Knowl. Based Syst., (2018)Enhancing Hyperheuristics for the Knapsack Problem through Fuzzy Logic., , , , and . Comput. Intell. Neurosci., (2021)A Straightforward Framework for Video Retrieval Using CLIP., , and . MCPR, volume 12725 of Lecture Notes in Computer Science, page 3-12. Springer, (2021)Assessing the Value of Future and Present Options in Real-Time Planning., , and . IBERAMIA-SBIA, volume 4140 of Lecture Notes in Computer Science, page 522-531. Springer, (2006)Cooperative multi-objective evolutionary support vector machines for multiclass problems., , , , , and . GECCO, page 513-520. ACM, (2018)Comparison of Class Separability, Forward Sequential Search and Genetic Algorithms for Feature Selection in the Classification of Individual and Clustered Microcalcifications in Digital Mammograms., , and . ICIAR, volume 4633 of Lecture Notes in Computer Science, page 911-922. Springer, (2007)