شماره ركورد كنفرانس
4191
عنوان مقاله
A hybrid algorithm for job shop scheduling problem with an assembly stage
پديدآورندگان
Fattahi Parviz Department of Industrial Engineering, Bu-Ali Sina University, Hamedan, Iran , Keneshloo Sanaz sanazkeneshloo@gmail.com Industrial Engineering, Bu-Ali Sina University, Hamedan, Iran , Daneshamooz Fatemeh Industrial Engineering, Bu-Ali Sina University, Hamedan, Iran
تعداد صفحه
3
كليدواژه
Job shop scheduling , Assembly , Cuckoo search algorithm , Genetic algorithm
سال انتشار
1394
عنوان كنفرانس
دوازدهمين كنفرانس بين المللي مهندسي صنايع
زبان مدرك
انگليسي
چكيده فارسي
Job shop scheduling problem with an assembly stage is an extension of classical job shop problem (JSP). Job shop scheduling problem with an assembly stage first starts with a JSP, then appends an assembly stage to produce products. In this paper the model of the problem is described. Also, since this problem has been proved strongly NP-hard, this paper proposes a hybrid algorithm in order to minimize makespan. In this hybrid algorithm, a cuckoo search algorithm is used along with a GA in order to avoid the local minima problem and to benefit from the advantages of both types of algorithms.
كشور
ايران
لينک به اين مدرک