Resource Selection and Optimization in Manufacturing Grid Based on Genetic Algorithm
The resource selection and optimization is the key point in the application of manufacturing grid. The limitation is presented in this paper by analyzing the now manufacturing resource finding methods. Based on mathematical description of the resource selection process, a GA-based optimize model is proposed and its algorithm is designed. Finally, a typical instance is illustrated to validate the model and algorithm.