A neural network model and algorithm for the hybrid flow shop scheduling problem in a dynamic environment

2005 ◽  
Vol 16 (3) ◽  
pp. 361-370 ◽  
Author(s):  
Lixin Tang ◽  
Wenxin Liu ◽  
Jiyin Liu
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Flow Shop ◽  
Dynamic Environment ◽  
Flow Shop Scheduling ◽  
Hybrid Flow Shop ◽  
Scheduling Problem ◽  
Shop Scheduling ◽  
Hybrid Flow Shop Scheduling

Research on a Main-Branch Hybrid Flow Shop Scheduling Problem in Production Manufacturing System

2012 ◽  
Vol 252 ◽  
pp. 354-359
Author(s):  
Xin Min Zhang ◽  
Meng Yue Zhang
Keyword(s):  
Manufacturing System ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Hybrid Flow Shop ◽  
Scheduling Problem ◽  
Quantum Genetic Algorithm ◽  
Shop Scheduling ◽  
Scheduling Model ◽  
Hybrid Flow Shop Scheduling ◽  
Two Stages

A main-branch hybrid Flow shop scheduling problem in production manufacturing system is studied. Under the premise of JIT, targeting of smallest cost, a Flow-Shop production line scheduling model is built in cycle time of buffer. Two stages Quantum Genetic Algorithm (QGA) is proposed. By the results of numerical example, the effective and advantageous of QGA was shown.

An energy-efficient hybrid flow shop scheduling problem in steelmaking plants

2021 ◽  
Vol 162 ◽  
pp. 107683
Author(s):  
Xiaoyuan Lian ◽  
Zhong Zheng ◽  
Cheng Wang ◽  
Xiaoqiang Gao
Keyword(s):  
Energy Efficient ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Hybrid Flow Shop ◽  
Scheduling Problem ◽  
Shop Scheduling ◽  
Hybrid Flow Shop Scheduling
Sign in / Sign up

Export Citation Format

Share Document