Optimizing agents with genetic programming: an evaluation of hyper-heuristics in dynamic real-time logistics

Author:

van Lon Rinde R. S.,Branke Juergen,Holvoet Tom

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Instance generation tool for on-demand transportation problems;European Journal of Operational Research;2024-09

2. Genetic-based Constraint Programming for Resource Constrained Job Scheduling;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

3. A deep reinforcement learning with dynamic spatio-temporal graph model for solving urban logistics delivery planning problems;International Journal of Digital Earth;2024-07-09

4. Enhancing constraint programming via supervised learning for job shop scheduling;Knowledge-Based Systems;2024-06

5. A Hyper-Heuristic Approach to Solving Vehicle Routing Problem in Military Logistics Distribution;Engineering Cyber-Physical Systems and Critical Infrastructures;2024

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