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User Experience Analysis of Library Intelligent Book-Lending Cabinets Service Based on MOA Model༚Case Study of China., , и . CCHI, стр. 290-301. ACM, (2023)Learning to balance exploration and exploitation in pareto local search for multi-objective combinatorial optimization., , , и . GECCO Companion, стр. 383-386. ACM, (2022)Parallel pareto local search revisited: first experimental results on bi-objective UBQP., , , , и . GECCO, стр. 753-760. ACM, (2018)Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm., , , , и . IEEE Trans. Emerg. Top. Comput. Intell., 7 (5): 1511-1526 (октября 2023)Multi-objective Techniques for Single-Objective Local Search: A Case Study on Traveling Salesman Problem., , и . EMO, том 11411 из Lecture Notes in Computer Science, стр. 114-125. Springer, (2019)A Gradient-based Method for Differential Evolution Parameter Control by Smoothing., , , , и . GECCO Companion, стр. 423-426. ACM, (2024)New techniques to improve neighborhood exploration in pareto local search., , , , и . Expert Syst. Appl., (2024)PPLS/D: Parallel Pareto Local Search based on Decomposition., и . CoRR, (2017)EB-GLS: An Improved Guided Local Search Based on the Big Valley Structure., , и . CoRR, (2017)On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP., , , , , и . CEC, стр. 1-8. IEEE, (2024)