Oct 10, 2018 · To the best of our knowledge, this is the first study to be conducted on flexible job shop inverse scheduling problem (FJISP). In this paper, ...
Oct 22, 2024 · To the best of our knowledge, this is the first study to be conducted on flexible job shop inverse scheduling problem (FJISP). In this paper, ...
An Efficient Meta-Heuristic for Multi-Objective Flexible Job Shop ...
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In this paper, a comprehensive mathematical model with adjustable processing time is established, and a hybrid multi-objective evolutionary algorithm based ...
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Supplementary material for article "An Efficient Meta-Heuristic for Multi-objective Flexible Job Shop Inverse Scheduling Problem". Categories:.
Oct 10, 2024 · Supplementary material for article "An Efficient Meta-Heuristic for Multi-objective Flexible Job Shop Inverse Scheduling Problem"
This paper presents an effective multi-objective Jaya (EMOJaya) algorithm to solve a multi-objective job-shop scheduling problem
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This study investigates the optimization of non-permutation flow-shop scheduling problems and lot-sizing simultaneously. Contrary to previous works, ...
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An Efficient Meta-Heuristic for Multi-Objective Flexible Job Shop Inverse Scheduling Problem · A review on swarm intelligence and evolutionary algorithms for ...
This study aims to present the forms of scrutiny of multi-objective FJSSPs and various heuristic techniques used to solve problems in the last decade.
Sep 20, 2023 · With this paper, an effective genetic algorithm is proposed for MO-FJSP based on maximum completion time, total machine load, and bottleneck machine load.
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