Multimodal Optimization of Permutation Flow-Shop Scheduling Problems Using a Clustering-Genetic-Algorithm-Based Approach

Though many techniques were proposed for the optimization of Permutation Flow-Shop Scheduling Problem (PFSSP), current techniques only provide a single optimal schedule. Therefore, a new algorithm is proposed, by combining the k-means clustering algorithm and Genetic Algorithm (GA), for the multimod...

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Үндсэн зохиолчид:	Pan Zou, Manik Rajora, Steven Y. Liang
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2021-04-01
Цуврал:	Applied Sciences
Нөхцлүүд:	multimodal optimization Permutation Flow-Shop Scheduling Problem (PFSSP) k-means clustering algorithm Genetic Algorithm (GA)
Онлайн хандалт:	https://www.mdpi.com/2076-3417/11/8/3388
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!