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This paper focuses on reviewing the learning-based methods for SSP. Firstly, the methods for SSP are briefly introduced. Then, its description and model are ...
Shop scheduling is an effective way for manufacturers to improve their manufacturing performances. However, due to its complexity, it is difficult to deal with ...
Jan 16, 2024 · This paper presents a new algorithm that obtains an approximation of the Critical Path in schedules generated using the disjunctive graph model ...
This paper focuses on reviewing the learning-based methods for SSP, and classified the methods according to the machine learning technique used in the ...
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based algorithm for scheduling, review the applications of RL for different types of scheduling problems, and ... shop scheduling problem, and introduced Q- ...
Dive into the research topics of 'Review on learning-based methods for shop scheduling problems'. Together they form a unique fingerprint. Sort by; Weight ...
A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem ... shop scheduling solver: A literature review.
The issues on solving approaches and algorithms for shop scheduling problems seem to be also the popular review research topics. In a general way, algorithms ...
Jun 11, 2024 · Experiments extending existing training protocols for job shop scheduling problems with our inference method validate our hypothesis and result ...
A Review on Swarm Intelligence and Evolutionary Algorithms for Solving Flexible Job Shop Scheduling Problems. ... Based on Reinforcement Learning for ...