TY - JOUR
T1 - Research on manufacturing grid resource scheduling based on genetic algorithm
AU - Zhang, Chuanshun
AU - Mo, Rong
AU - Shi, Shengyou
AU - Chang, Zhiyong
AU - Chen, Zefeng
PY - 2006/9/25
Y1 - 2006/9/25
N2 - To resolve resource scheduling problem efficiently in manufacturing grid, a multi-objective optimization mathematical model was put forward, which was based on task time, machining quality, cost and service quality. Based on the model, combined with object weight, a genetic algorithm for manufacturing grid resources scheduling process was designed. At the same time, relative fitness which was based on influence degree coefficient was designed to reduce objects' non-standardization error. At last, the results of a scheduling case prove the algorithm's validity.
AB - To resolve resource scheduling problem efficiently in manufacturing grid, a multi-objective optimization mathematical model was put forward, which was based on task time, machining quality, cost and service quality. Based on the model, combined with object weight, a genetic algorithm for manufacturing grid resources scheduling process was designed. At the same time, relative fitness which was based on influence degree coefficient was designed to reduce objects' non-standardization error. At last, the results of a scheduling case prove the algorithm's validity.
KW - Genetic algorithm
KW - Influence degree coefficient
KW - Manufacturing grid
KW - Multi-objective optimization
KW - Resource scheduling
UR - https://www.scopus.com/pages/publications/33751120948
M3 - 文章
AN - SCOPUS:33751120948
SN - 1004-132X
VL - 17
SP - 1916
EP - 1920
JO - Zhongguo Jixie Gongcheng/China Mechanical Engineering
JF - Zhongguo Jixie Gongcheng/China Mechanical Engineering
IS - 18
ER -