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A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems.

, , , , и . GECCO, стр. 1811-1812. ACM, (2009)

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José Carlos Martin

Carlos José Forlenza

Carlos Martinez-Ortiz

José David Paltan-Ortiz

José Carlos Bressiani

 

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Learning vector quantization for variable ordering in constraint satisfaction problems., , и . Pattern Recognit. Lett., 34 (4): 423-432 (2013)A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems., , , , , и . IEEE Access, (2020)Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem., , , , и . CoRR, (2022)A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics., , , и . CEC, стр. 1-8. IEEE, (2022)A Simulated Annealing Hyper-heuristic for Job Shop Scheduling Problems., , , , , , и . CEC, стр. 57-64. IEEE, (2019)Evolutionary multilabel hyper-heuristic design., , , , и . CEC, стр. 2622-2629. IEEE, (2017)A Fuzzy Hyper-Heuristic Approach for the 0-1 Knapsack Problem., , , , и . CEC, стр. 1-8. IEEE, (2020)A Preliminary Study on Score-Based Hyper-heuristics for Solving the Bin Packing Problem., , , , и . MCPR, том 12088 из Lecture Notes in Computer Science, стр. 318-327. Springer, (2020)SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control., , , , , , и . SSCI, стр. 1443-1448. IEEE, (2023)Beyond Hyper-Heuristics: A Squared Hyper-Heuristic Model for Solving Job Shop Scheduling Problems., , , и . IEEE Access, (2022)