A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2021.3062979
Abstract: In this study, we propose an efficient optimization algorithm that is a hybrid of the iterated greedy and simulated annealing algorithms (hereinafter, referred to as IGSA) to solve the flexible job shop scheduling problem with… read more here.
Keywords: problem; hybrid iterated; crane transportation; crane ... See more keywords
A Reinforcement Learning Approach for Flexible Job Shop Scheduling Problem With Crane Transportation and Setup Times.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3208942
Abstract: Flexible job shop scheduling problem (FJSP) has attracted research interests as it can significantly improve the energy, cost, and time efficiency of production. As one type of reinforcement learning, deep Q-network (DQN) has been applied… read more here.
Keywords: problem; crane transportation; crane; setup ... See more keywords