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Comparison of Metaheuristic Algorithms with a Methodology of Design for the Evaluation of Hard Constraints over the Course Timetabling Problem.

, , , and . Recent Advances on Hybrid Intelligent Systems, volume 451 of Studies in Computational Intelligence, Springer, (2013)

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Developing Architectures of Spiking Neural Networks by Using Grammatical Evolution Based on Evolutionary Strategy., , , , , and . MCPR, volume 8495 of Lecture Notes in Computer Science, page 71-80. Springer, (2014)Direct and Indirect Evolutionary Designs of Artificial Neural Networks., , , , , , , and . Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms, volume 862 of Studies in Computational Intelligence, Springer, (2020)Comparison of Metaheuristic Algorithms with a Methodology of Design for the Evaluation of Hard Constraints over the Course Timetabling Problem., , , and . Recent Advances on Hybrid Intelligent Systems, volume 451 of Studies in Computational Intelligence, Springer, (2013)Evolving Bin Packing Heuristic Using Micro-Differential Evolution with Indirect Representation., , , , , and . Recent Advances on Hybrid Intelligent Systems, volume 451 of Studies in Computational Intelligence, Springer, (2013)Clustering Bin Packing Instances for Generating a Minimal Set of Heuristics by Using Grammatical Evolution., , , , , and . Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics, volume 574 of Studies in Computational Intelligence, Springer, (2015)Grammatical Evolution with Codons Selection Order as Intensification Process., , and . Computación y Sistemas (CyS), (2024)Studying Grammatical Evolution's Mapping Processes for Symbolic Regression Problems., , , , , , and . Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms, volume 862 of Studies in Computational Intelligence, Springer, (2020)Parallel Meta-heuristic Approaches to the Course Timetabling Problem., , , , , , and . Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization, volume 601 of Studies in Computational Intelligence, Springer, (2015)A Comparation between Bee Swarm Optimization and Greedy Algorithm for the Knapsack Problem with Bee Reallocation., , , and . MICAI (Special Sessions), page 22-27. IEEE Computer Society, (2010)Application of the Bee Swarm Optimization BSO to the Knapsack Problem., , and . Soft Computing for Recognition Based on Biometrics, volume 312 of Studies in Computational Intelligence, Springer, (2010)