A discrete differential evolution algorithm for flow shop group scheduling problem with sequence-dependent setup and transportation times

Author(s):  
Shuaipeng Yuan ◽  
Tieke Li ◽  
Bailin Wang
2012 ◽  
Vol 590 ◽  
pp. 540-544
Author(s):  
Yan Ping Zhou

This paper proposed a new differential evolution algorithm based on variable neighbourhood search which is called as VNSDE. In VNSDE, the operation of variable neighbourhood search is performed after three basic operations of differential evolution, which can enhance the global search and improve the convergence. VNSDE is applied for solving flow shop scheduling problem with the makespan criterion. Computational experiment is performed over a typical FSSP benchmark using VNSDE, GA and DE, and result shows that VNSDE has higher performance than GA and DE.


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