收稿日期: 2015-05-25
网络出版日期: 2016-12-30
基金资助
国家自然科学基金资助项目(51405283, 71401098)
Job shop scheduling with uncertainty based on genetic algorithm
Received date: 2015-05-25
Online published: 2016-12-30
彭运芳1, 高雅1, 夏蓓鑫2 . 不确定条件下基于遗传算法的作业车间调度问题[J]. 上海大学学报(自然科学版), 2016 , 22(6) : 793 -803 . DOI: 10.3969/j.issn.1007-2861.2015.05.008
A mathematical model representing uncertain processing time by triangular fuzzy number was built to deal with the job shop scheduling problem with different due date windows. An improved genetic algorithm was developed to solve the problem. The algorithm generated initial population using an integer coding method combined with a roulette method and the elitist strategy in the selection operator. Precedence operation crossover (POX) and swap mutation methods were used in crossover and mutation operators. Meanwhile, crossover and mutation probabilities were dynamically adjusted to improve the algorithm’s performance. An example was given to verify validity of the model and algorithm.
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