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Genetic algorithm for the flexible job-shop scheduling problem

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004
In this paper, we are interested in the multiobjective optimization of the schedule performance in the flexible job shops. The flexible job shop scheduling problem (FJSP) is known in the literature as one of the hardest combinatorial optimization problems and presents many objectives to be optimized.
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MULTI OBJECTIVE FLEXIBLE JOB SHOP SCHEDULING PROBLEMS

2013
Flexible job shop scheduling problem, is an extension of the classical job shop scheduling problem. In Flexible job shop scheduling problem, there are more than one machine with the same features for the same purpose. The problem can be defined as appointing the jobs to the machines (assignment) and ordering the jobs at each machine (sequencing) to ...
KAYA, Serkan, FIĞLALI, Nilgün
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Scheduling Optimization of Flexible Job Shop Problem

2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC), 2023
Gu Chan, Zou Di
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Survey of integrated flexible job shop scheduling problems

Computers & Industrial Engineering, 2022
Xixing Li   +8 more
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Flexible job shop scheduling problem with iterative combinatorial auctions

2016
This thesis puts forth an algorithm for solving the flexible job shop scheduling problem. The algorithm consist of a subgradient search and of a list scheduling heuristic, which is designed to generate feasible solutions deriving from the infeasible solutions we obtain from the subgradient search.
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An Integrated Flexible Job Shop and Personnel Scheduling Problem

SSRN Electronic Journal, 2022
Dung-Ying Lin, Yen-Wen Chen
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A hybrid Jaya algorithm for solving flexible job shop scheduling problem considering multiple critical paths

Journal of Manufacturing Systems, 2021
Weiming Shen, Liang Gao, Chunjiang Zhang
exaly  

A hybrid genetic tabu search algorithm for distributed flexible job shop scheduling problems

Journal of Manufacturing Systems, 2023
Xin-Yu Li, Liang Gao, Lin Gui
exaly  

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