Research on steelmaking-continuous casting production scheduling problem with uncertain processing time based on Lagrangian relaxation framework

2022 ◽  
Vol 16 (1) ◽  
pp. 87
Author(s):  
Jinyu Liu ◽  
Yaqian Yu ◽  
Ye Li ◽  
Zhi Li ◽  
Tianyi Lu ◽  
...  
2013 ◽  
Vol 441 ◽  
pp. 1077-1080
Author(s):  
Gui Rong Wang ◽  
Qi Qiang Li ◽  
Mao Rong Yuan

This paper addresses the Steelmaking Continuous Casting production scheduling problem (SCC) with power consumption as the main objective. An encoding and decoding scheme is proposed and an effective Estimation of Distribution Algorithm (EDA) is presented to solve it. Simulation experiments indicate that EDA can solve the SCC problem efficiently and has fast speed of convergency.


2017 ◽  
Vol 24 (2) ◽  
pp. 467-477 ◽  
Author(s):  
Xin-fu Pang ◽  
Liang Gao ◽  
Quan-ke Pan ◽  
Wei-hua Tian ◽  
Sheng-ping Yu

2010 ◽  
Vol 139-141 ◽  
pp. 1679-1683 ◽  
Author(s):  
Hong Bing Wang ◽  
Ai Jun Xu ◽  
Dong Feng He

The real production scheduling problem between steel-making and continuous-casting can be modeled as JSSP with fuzzy processing and delivery time. An improved genetic algorithm is proposed for solving this problem and the improved aspects include the mechanism for preventing early-maturing and the job filter order-based crossover operator. The test results show that the improved genetic algorithm can find better solutions than other three algorithms. A real production scheduling problem of steel-making and continuous-casting is computed using the improved genetic algorithm and it shows the algorithm is effective.


Sign in / Sign up

Export Citation Format

Share Document