A hybrid genetic tabu search algorithm for distributed job-shop scheduling problems
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference37 articles.
1. A collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling;Bao;Swarm Evol. Comput.,2023
2. Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time;Li;Swarm Evol. Comput.,2022
3. An evolutionary algorithm for a hybrid flowshop scheduling problem with consistent sublots;Zhang;Int. J. Automat. Control,2022
4. Distributed flow shop scheduling with sequence-dependent setup times using an improved iterated greedy algorithm;Han;Complex Syst. Model. Simul.,2021
5. A discrete differential evolution algorithm for flow shop group scheduling problem with sequence-dependent setup and transportation times;Yuan;J. Intell. Manuf.,2021
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