A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation

Author:

Zhang Zi-Qi,Wu Fang-Chun,Qian BinORCID,Hu Rong,Wang LingORCID,Jin Huai-Ping

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference75 articles.

1. A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines;Abedi;Expert Systems with Applications,2020

2. Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristic;Adriaensen,2014

3. Energy-efficient multi-objective flexible manufacturing scheduling;Barak;Journal of Cleaner Production,2021

4. Iterated local search vs. hyper-heuristics: Towards general-purpose search algorithms;Burke,2010

5. Application of genetic algorithms with dominant genes in a distributed scheduling problem in flexible manufacturing systems;Chan;International Journal of Production Research,2006

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