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浏览/检索结果:
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Multi-Agent Reinforcement Learning for Extended Flexible Job Shop Scheduling
期刊论文
MACHINES, 2024, 卷号: 12, 期号: 1, 页码: 25
作者:
Peng, Shaoming
;
Xiong, Gang
;
Yang, Jing
;
Shen, Zhen
;
Tamir, Tariku Sinshaw
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/03/13
production planning and scheduling
multi-agent reinforcement learning
flexible job shop
path flexibility
technological flexibility
A knowledge-driven constructive heuristic algorithm for the distributed assembly blocking flow shop scheduling problem
期刊论文
Expert Systems with Applications, 2022, 卷号: 202
作者:
Yang, Yahong
;
Li, Xun
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/06/20
Benchmarking
Heuristic algorithms
Job shop scheduling
Machine shop practice
Assembly completion time
Blocking flow shops
Completion time
Constructive heuristic
Constructive heuristic algorithm
Distributed assembly blocking flow shop scheduling problem
Distributed flow
Flow shop scheduling problem
Knowledge-driven constructive heuristic algorithm
Neighbourhood
A discrete learning fruit fly algorithm based on knowledge for the distributed no-wait flow shop scheduling with due windows
期刊论文
Expert Systems with Applications, 2022, 卷号: 198
作者:
Zhu, Ningning
;
Zhao, Fuqing
;
Wang, Ling
;
Ding, Ruiqing
;
Xu, Tianpeng
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/04/21
Fruits
Iterative methods
Job shop scheduling
Learning algorithms
Local search (optimization)
Machine shop practice
Manufacture
Distributed no-wait flow-shop
Due-window
Fruit fly optimization
Fruitflies
Knowledge model
No-wait flowshop
Optimisations
Probability knowledge model
Variable neighborhood descend
Variable neighbourhoods
A Hyperheuristic With Q-Learning for the Multiobjective Energy-Efficient Distributed Blocking Flow Shop Scheduling Problem
期刊论文
IEEE Transactions on Cybernetics, 2022, 页码: 1-14
作者:
Zhao, Fuqing
;
Di, Shilu
;
Wang, Ling
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/09/22
Carbon
Energy efficiency
Heuristic algorithms
Job shop scheduling
Machine shop practice
Planning
>
$Q$
-learning
Blocking flow shops
Distributed blocking flow shop scheduling
Energy-consumption
Flow-shop scheduling
Heuristics algorithm
Hyper-heuristics
Index
Job-Shop scheduling
Optimisations
Production facility
Q-learning
Total energy
Total energy consumption
Total tardiness
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A Population-Based Iterated Greedy Algorithm for Distributed Assembly No-Wait Flow-Shop Scheduling Problem
期刊论文
IEEE Transactions on Industrial Informatics, 2022, 页码: 1-12
作者:
Zhao, Fuqing
;
Xu, Zesong
;
Wang, Ling
;
Zhu, Ningning
;
Xu, Tianpeng
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/09/22
Benchmarking
Integer programming
Job shop scheduling
Local search (optimization)
Machine shop practice
Manufacture
Population statistics
Scheduling algorithms
Assembly scheduling
Distributed assembly scheduling
Greedy algorithms
Iterated greedy algorithm
Job-Shop scheduling
No-wait flowshop
Processor scheduling
Production facility
Search problem
Total flowtime
Enhancing whale optimization algorithm with chaotic theory for permutation flow shop scheduling problem
期刊论文
International Journal of Computational Intelligence Systems, 2021, 卷号: 14, 期号: 1, 页码: 651-675
作者:
J. Li
;
L. Guo
;
Y. Li
;
C. Liu
;
L. Wang and H. Hu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2022/06/13
A memetic discrete differential evolution algorithm for the distributed permutation flow shop scheduling problem
期刊论文
COMPLEX & INTELLIGENT SYSTEMS, 2021
作者:
Zhao, Fuqing
;
Hu, Xiaotong
;
Wang, Ling
;
Li, Zekai
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/06/03
Distributed permutation flow shop scheduling
Neighborhood structures
Differential evolution
Knowledge
Makespan
A Self-Learning Discrete Jaya Algorithm for Multiobjective Energy-Efficient Distributed No-Idle Flow-Shop Scheduling Problem in Heterogeneous Factory System
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021
作者:
Zhao, Fuqing
;
Ma, Ru
;
Wang, Ling
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/03/01
Production facilities
Job shop scheduling
Optimization
Energy consumption
Search problems
Load management
Sustainable development
Energy-efficient distributed no-idle flow-shop scheduling problem (FSP)
energy-saving strategy
heterogeneous factory system
Jaya algorithm
self-learning operation selection strategy (SLOS)
Adaptive population NSGA-III with dual control strategy for flexible job shop scheduling problem with the consideration of energy consumption and weight
期刊论文
Machines, 2021, 卷号: 9, 期号: 12, 页码: 1-24
作者:
Wu, Mingliang
;
Yang DS(杨东升)
;
Zhou BW(周博文)
;
Yang ZL(杨之乐)
;
Liu, Tianyi
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/01/13
Dual control strategy
Energy consumption
Flexible job shop scheduling problem
Makespan
NSGA-III
Intelligent Scheduling for Permutation Flow Shop with Dynamic Job Arrival via Deep Reinforcement Learning
会议论文
Chongqing, China, March 12-14, 2021
作者:
Yang SL(杨圣落)
;
Xu ZG(徐志刚)
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/05/10
dynamic scheduling
deep reinforcement learning
PFSP
deep Q network (DQN)
intelligent scheduling
dynamic job arrival
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