This paper presents a genetic algorithm solution for parallel machine scheduling problems with a real factory case. Various genetic components and operators were examined to design a genetic algorithm for a parallel machine scheduling problem with an objective of minimizing makespan and the number of tardy jobs. A production schedule was optimized using a genetic algorithm and results were compared. The experimental results demonstrated that a genetic algorithm encoding method performed successfully to achieve a solution for parallel machine problems.
Alan : Eğitim Bilimleri; Fen Bilimleri ve Matematik
Dergi Türü : Uluslararası
Benzer Makaleler | Yazar | # |
---|
Makale | Yazar | # |
---|