scholarly journals An Optimization Algorithm for Optimal Problem of Permutation Flow Shop Scheduling

2017 ◽  
Vol 173 (2) ◽  
pp. 26-34 ◽  
Author(s):  
Abdel Nasser ◽  
Mahmoud M. ◽  
Shimaa S.
2010 ◽  
Vol 44-47 ◽  
pp. 270-274
Author(s):  
Yong Quan Zhou ◽  
Zheng Xin Huang ◽  
Yan Lian Du ◽  
Qiao Qiao Gong

This paper presents a new hybrid mean particle swarm optimization algorithm with improved NEH heuristic approach and local search strategies by using an immune mechanism. This hybrid mean particle swarm optimization algorithm is used for permutation flow shop scheduling problems. Finally, twenty-five problems are used to test the performance of the algorithm, the experimental results show that the proposed approach is an effective and practical.


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