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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:28/0
  |  
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
An effective water wave optimization algorithm with problem-specific knowledge for the distributed assembly blocking flow-shop scheduling problem
期刊论文
Knowledge-Based Systems, 2022, 卷号: 243
作者:
Zhao, Fuqing
;
Shao, Dongqu
;
Wang, Ling
;
Xu, Tianpeng
;
Zhu, Ningning
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/04/21
Benchmarking
Integer programming
Machine shop practice
Manufacture
Production control
Scheduling
Supply chains
Blocking flow shops
Distributed assembly
Flow shop scheduling problem
Mixed integer linear
Optimisations
Optimization algorithms
Performance
Problem-specific knowledge
Total tardiness
Water wave optimization
Integrating Variable Reduction Strategy With Evolutionary Algorithms for Solving Nonlinear Equations Systems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 75-89
作者:
Aijuan Song
;
Guohua Wu
;
Witold Pedrycz
;
Ling Wang
收藏
  |  
浏览/下载:61/0
  |  
提交时间:2021/11/03
Evolutionary algorithm (EA)
nonlinear equations systems (ENSs)
problem domain knowledge
variable reduction strategy (VRS)
A knowledge-based differential covariance matrix adaptation cooperative algorithm
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2021, 卷号: 184
作者:
Zuo, Yang
;
Zhao, Fuqing
;
Li, Zekai
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  |  
浏览/下载:22/0
  |  
提交时间:2021/10/14
Cooperation
Differential evolution
Covariance matrix adaptation
Niching population size
Learning mechanism
Design of experiment
A Two-Stage Cooperative Evolutionary Algorithm With Problem-Specific Knowledge for Energy-Efficient Scheduling of No-Wait Flow-Shop Problem
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 11, 页码: 5291-5303
作者:
Zhao, Fuqing
;
He, Xuan
;
Wang, Ling
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2021/12/17
Job shop scheduling
Energy consumption
Search problems
Steel
Optimization
Manufacturing
Cooperative algorithm
energy efficient
knowledge
no-wait flow-shop scheduling
total energy consumption (TEC)
An optimal block knowledge driven backtracking search algorithm for distributed assembly No-wait flow shop scheduling problem
期刊论文
Applied Soft Computing, 2021, 卷号: 112
作者:
Zhao, Fuqing
;
Zhao, Jinlong
;
Wang, Ling
;
Tang, Jianxin
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/02/17
Learning algorithms
Machine shop practice
Manufacture
Scheduling
Backtracking search algorithms
Effective algorithms
Flow shop scheduling problem
Mutation operations
Mutation strategy
No-wait flow-shop scheduling
Optimal solutions
State-of-the-art algorithms
Boosting end-to-end multi-object tracking and person search via knowledge distillation
会议论文
China, 2021-10
作者:
Zhang, Wei
;
He, Lingxiao
;
Chen, Peng
;
Liao, Xingyu
;
Liu, Wu
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  |  
浏览/下载:0/0
  |  
提交时间:2024/02/23
ModuleNet: Knowledge-Inherited Neural Architecture Search
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 11
作者:
Chen, Yaran
;
Gao, Ruiyuan
;
Liu, Fenggang
;
Zhao, Dongbin
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  |  
浏览/下载:27/0
  |  
提交时间:2022/01/27
Computer architecture
Task analysis
Knowledge based systems
Microprocessors
Statistics
Sociology
Computational modeling
Evaluation algorithm
knowledge inherited
neural architecture search (NAS)
A hierarchical knowledge guided backtracking search algorithm with self-learning strategy
期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2021, 卷号: 102
作者:
Zhao, Fuqing
;
Zhao, Jinlong
;
Wang, Ling
;
Cao, Jie
;
Tang, Jianxin
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/10/14
Backtracking search algorithm
Hierarchical knowledge
Multi-strategy mutation
Probability vector
Self-learning strategy
Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Wang, Guanan
;
Hu, Qinghao
;
Yang, Yang
;
Cheng, Jian
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2022/01/27
Data models
Semantics
Force
Computational modeling
Hash functions
Binary codes
Training data
Adversarial learning (AL)
deep learning
hashing
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