Modular design of a hybrid genetic algorithm for a flexible job–shop scheduling problem

2011 ◽  
Vol 24 (1) ◽  
pp. 102-112 ◽  
Author(s):  
Celia Gutiérrez ◽  
Iván García-Magariño

2014 ◽  
Vol 889-890 ◽  
pp. 1179-1184 ◽  
Author(s):  
Shuang Xi Wang ◽  
Chao Yong Zhang ◽  
Liang Liang Jin

In this paper, a hybrid genetic algorithm is presented for the flexible job-shop scheduling problem with makespan criterion. A new machine assignment strategy is proposed to improve the initial population. A modified coding scheme is presented, and a population improvement strategy is performed when the best solution of the population did not improve during some generations. This hybrid algorithm is tested on a series of benchmarks instances. Experimental results show that this hybrid algorithm is efficient and competitive compared to some existing methods.





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