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Bilevel learning for large-scale flexible flow shop scheduling.

, , , , , , , , и . Comput. Ind. Eng., (2022)

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Jiawen Zhou

Lu Lu

Jing Lu

Yanfeng Lu

Lu Zhang

 

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Bilevel Learning Model Towards Industrial Scheduling., , , , , , , и . CoRR, (2020)Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition., , , , , , и . CoRR, (2022)Deep Reinforcement Learning Based Optimization Algorithm for Permutation Flow-Shop Scheduling., , , и . IEEE Trans. Emerg. Top. Comput. Intell., 7 (4): 983-994 (августа 2023)Path reduction of multiple test points in dynamic symbolic execution., , и . ICIS, стр. 857-863. IEEE Computer Society, (2017)A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem., , , , , , , и . KDD, стр. 3441-3451. ACM, (2021)Complexity analysis and comparison of test paths based on DSE., , , и . SNPD, стр. 533-539. IEEE Computer Society, (2016)An Induction to the Development of Software Quality Model Standards., , и . TSA, стр. 117-122. IEEE, (2016)A Bi-Strategy Based Optimization Algorithm for the Dynamic Capacitated Electric Vehicle Routing Problem., и . CEC, стр. 646-653. IEEE, (2019)Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems., , , , , , , и . CoRR, (2021)A Semantics-preserving Approach for Extracting RDF Knowledge from Object-oriented Databases., , , , и . J. Web Eng., 22 (2): 197-220 (2023)