IMOEA/D to optimize job release problem for a reentrant hybrid flow shop
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
General Engineering,General Computer Science
Reference33 articles.
1. A simulation study of new multi-objective composite dispatching rules, CONWIP, and push lot release in semiconductor fabrication;Bahaji;International Journal of Production Research,2008
2. Job release control using a cyclic schedule;Bowman;Production and Operations Management,2002
3. Bi-objective scheduling for reentrant hybrid flow shop using Pareto genetic algorithm;Cho;Computers & Industrial Engineering,2011
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1. Multi-objective Evolutionary Algorithm with Variable Neighborhood Search for Optimizing Green Scheduling in a Re-Entrant Hybrid Flow Shop with Dynamic Events;Journal of Physics: Conference Series;2024-05-01
2. A bi-objective re-entrant permutation flow shop scheduling problem: minimizing the makespan and maximum tardiness;Operational Research;2023-04-08
3. An Improved NSGA-II for Solving Reentrant Flexible Assembly Job Shop Scheduling Problem;Lecture Notes in Computer Science;2023
4. Optimizing job release and scheduling jointly in a reentrant hybrid flow shop;Expert Systems with Applications;2022-12
5. An improved multi-objective evolutionary algorithm based on decomposition for solving re-entrant hybrid flow shop scheduling problem with batch processing machines;Computers & Industrial Engineering;2022-07
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