The first algorithm allocates jobs to machines and converts the hybrid flow-shop problem in to several flow-shop problems. 第一个演算法分派工件给机器,并将混合式流程工作排程转换成數个流程工作排程问题。 www.ceps.com.tw 3. Evolutionary algorithm for solving multi-objective hybrid flow-shop...
Sevaux. Hybrid flow-shop: a memetic algorithm using constraint-based scheduling for efficient search. Journal of Mathematical Modelling and Algorithms, 8:271-292, 2009.A. Jouglet, C. Oguz, and M. Sevaux. Hybrid flow-shop: a me- metic algorithm using constraint-based scheduling for efficient...
Hybrid flow shop (HFS) scheduling has been extensively examined and the main objective has been to improve production efficiency. However, limited attention has been paid to the consideration of energy consumption with the advent of green manufacturing. This paper proposes a new ant colony optimizatio...
[8] consider the two-machine flowshop problem where the first machine is a discrete machine and the second is a batching machine. The objective is to minimize the makespan. The tasks in the same batch have to be compatible. One of their result is used in our study. Given a batching ...
W. Chang, "A hybrid flowshop scheduling model considering dedicated machines and lot-splitting for the solar cell industry," International Journal of Systems Science, 2013.A hybrid flowshop scheduling model considering dedicated machines and lot-splitting for the solar cell industry[J] . Li-Chih ...
The hybrid flow-shop scheduling problem with multiprocessor tasks finds its applications in real-time machine-vision systems among others. Motivated by thi
Hybrid flow-shop problems and problems with multiprocessor task systems have remained subject of intensive research over several years. Hybrid flow-shop problems overcome one of the limitations of the classical flow-shop model by allowing parallel processors at each stage of task processing. Problems ...
In this paper we address a hybrid flow shop scheduling problem considering the minimization of the sum of the total earliness and tardiness penalties. This problem is proven to be NP-hard, and consequently the development of heuristic and meta-heuristic approaches to solve it is well justified. ...
A Genetic Algorithm for Hybrid Flow-shop Scheduling with Multiprocessor Tasks The hybrid flow-shop scheduling problem with multiprocessor tasks finds its applications in real-time machine-vision systems among others. Motivated by thi... CEYDA OGUZ,M. FIKRET ERCAN - 《Journal of Scheduling》 被引量...
spider monkey optimization algorithm;multi-objective scheduling optimization;lot streaming;hybrid flow shop scheduling 1. Introduction The Hybrid Flow Shop Scheduling Problem (HFSP), also known as the Flexible Flow Shop Scheduling Problem (FFSP), is an NP-hard problem. In the context of fast respon...