A GA-based heuristic algorithm for non-permutation two-machine robotic flow-shop scheduling problem of minimizing total weighted completion time

Author(s):  
J. Li ◽  
L. Zhang ◽  
C. ShangGuan ◽  
H. Kise
2014 ◽  
Vol 643 ◽  
pp. 374-379
Author(s):  
Hua Wei Yuan ◽  
Yuan Wei Jing ◽  
Tao Ren

This paper considers the m-machine flow shop problem to minimize weighted completion time. A heuristic algorithm is presented to deal with the problem for large size problem. At the end of the paper, some numerical experiments show the effectiveness of the heuristic.


2012 ◽  
Vol 605-607 ◽  
pp. 528-531
Author(s):  
Dan Tang ◽  
Hong Ping Shu

For the flow shop scheduling problem which aims to minimize makespan, this paper gives a new derivation about its mathematical definition, and mining characteristics of the problem itself further. By which analysis, the new heuristic method proposed in the paper shorten the waiting time of each job as much as possible on the basis of reduce the processing time of the first machine and last job. The result of simulation experiments shows that, our new heuristic algorithm has good performance, and the average quality and stability of scheduling sequences generated by new method is significantly better than other heuristic algorithm which has the same complexity.


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