A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities-Reference-Cited by-同舟云学术

A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities

Published:2024-03 Issue: Volume:85 Page:101497
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Luo Cong^ORCID,Gong Wenyin^ORCID,Ming Fei^ORCID,Lu Chao

Funder

Huazhong University of Science and Technology National Key Laboratory of Intelligent Manufacturing Equipment and Technology

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference57 articles.

1. Scheduling dual-objective stochastic hybrid flow shop with deteriorating jobs via bi-population evolutionary algorithm;Fu;IEEE Trans. Syst. Man Cybern.: Syst.,2019

2. Multi-objective home health care routing and scheduling with sharing service via a problem-specific knowledge-based artificial bee colony algorithm;Fu;IEEE Trans. Intell. Transp. Syst.,2023

3. Scheduling eight-phase urban traffic light problems via ensemble meta-heuristics and Q-learning based local search;Lin;IEEE Trans. Intell. Transp. Syst.,2023

4. Distributed co-evolutionary memetic algorithm for distributed hybrid differentiation flowshop scheduling problem;Zhang;IEEE Trans. Evol. Comput.,2022

5. A population-based iterated greedy algorithm for distributed assembly no-wait flow-shop scheduling problem;Zhao;IEEE Trans. Ind. Inform.,2023

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