A New Hybrid Heuristic for Minimizing Total Flow Time in Permutation Flow Shop

Author(s):  
Wikanda Phaphan
2015 ◽  
Vol 766-767 ◽  
pp. 989-994 ◽  
Author(s):  
M. Saravanan ◽  
S. Joseph Dominic Vijayakumar ◽  
R. Srinivasan ◽  
S. Paul Singarayar

The Permutation Flow shop Scheduling Problem is a typical combinational optimization problem and has been proved to be strongly NP-hard. This paper deals with B-GRASP algorithm meta-heuristic in finding the solution and in analyzing the best the optimal schedule, thus minimizing the bi-objectives such as weighted makespan and total flow time. The proposed approach is evaluated using benchmark problems taken from Taillard and compared with simulated annealing algorithm. Computational experiments indicate that the proposed B-GRASP algorithm is a feasible and effective approach for the multiobjective problem.


1993 ◽  
Vol 25 (1-4) ◽  
pp. 219-222 ◽  
Author(s):  
Venkateswara S. Vempati ◽  
Chuen-Lung Chen ◽  
Stanley F. Bullington

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