Research on manufacturing grid resource scheduling based on genetic algorithm

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.