Jiang-Ping Huang
Orcid: 0000-0001-9712-7208
According to our database1,
Jiang-Ping Huang
authored at least 9 papers
between 2020 and 2024.
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Bibliography
2024
An end-to-end deep reinforcement learning method based on graph neural network for distributed job-shop scheduling problem.
Expert Syst. Appl., March, 2024
2023
A cooperative hierarchical deep reinforcement learning based multi-agent method for distributed job shop scheduling problem with random job arrivals.
Comput. Ind. Eng., November, 2023
Acceleration-based artificial bee colony optimizer for a distributed permutation flowshop scheduling problem with sequence-dependent setup times.
Appl. Soft Comput., March, 2023
2022
A discrete artificial bee colony method based on variable neighborhood structures for the distributed permutation flowshop problem with sequence-dependent setup times.
Swarm Evol. Comput., 2022
2021
A light-robust-optimization model and an effective memetic algorithm for an open vehicle routing problem under uncertain travel times.
Memetic Comput., 2021
Effective constructive heuristics and discrete bee colony optimization for distributed flowshop with setup times.
Eng. Appl. Artif. Intell., 2021
An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem.
Comput. Ind. Eng., 2021
An effective iterated greedy algorithm for PCBs grouping problem to minimize setup times.
Appl. Soft Comput., 2021
2020
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times.
Swarm Evol. Comput., 2020