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A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems.

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

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Learning vector quantization for variable ordering in constraint satisfaction problems., , and . Pattern Recognit. Lett., 34 (4): 423-432 (2013)A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems., , , , , and . IEEE Access, (2020)Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem., , , , and . CoRR, (2022)A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics., , , and . CEC, page 1-8. IEEE, (2022)SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control., , , , , , and . SSCI, page 1443-1448. IEEE, (2023)A Preliminary Study on Score-Based Hyper-heuristics for Solving the Bin Packing Problem., , , , and . MCPR, volume 12088 of Lecture Notes in Computer Science, page 318-327. Springer, (2020)Evolutionary multilabel hyper-heuristic design., , , , and . CEC, page 2622-2629. IEEE, (2017)A Simulated Annealing Hyper-heuristic for Job Shop Scheduling Problems., , , , , , and . CEC, page 57-64. IEEE, (2019)A Fuzzy Hyper-Heuristic Approach for the 0-1 Knapsack Problem., , , , and . CEC, page 1-8. IEEE, (2020)Hyper-Heuristics to customise metaheuristics for continuous optimisation., , , , , and . Swarm Evol. Comput., (2021)