Quantum-inspired ant colony optimisation algorithm for a two-stage permutation flow shop with batch processing machines
Author:
Affiliation:
1. School of Management, University of Science and Technology of China, Hefei, People's Republic of China;
2. School of Automation, Central South University, Changsha, People's Republic of China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hunan Province, China
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1661535
Reference50 articles.
1. Batching and Scheduling Jobs on Batch and Discrete Processors
2. Constrained binary artificial bee colony to minimize the makespan for single machine batch processing with non-identical job sizes
3. Improving the migrating birds optimization metaheuristic for the permutation flow shop with sequence-dependent set-up times
4. Minimizing total completion time on batch processing machines
5. A hybrid differential evolution algorithm for a two-stage flow shop on batch processing machines with arbitrary release times and blocking
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