A branch-and-bound algorithm with fuzzy inference for a permutation flowshop scheduling problem

1997 ◽  
Vol 96 (3) ◽  
pp. 578-590 ◽  
Author(s):  
Jinliang Cheng ◽  
Hiroshi Kise ◽  
Hironori Matsumoto
Author(s):  
Fatmah Almathkour ◽  
Omar Belgacem ◽  
Said Toumi ◽  
Bassem Jarboui

This paper deals with the permutation flowshop scheduling problem with time lags constraints to minimize the total weighted tardiness criterion by using the Branch and Bound algorithm. A new lower bound was developed for the flowshop scheduling problem. The computational experiments indicate that the proposed algorithm provides good solution in terms of quality and time requirements.


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