Research of Optimization for the Railway Information Service Composition in Grid Environment

This paper focuses on the framework and strategy of the optimal combination based on QoS of the grid railway information service and provides two integrated QoS models which are developed from the foundational and combined grid railway information services. In this paper, we solve it through a genetic-annealing hybrid algorithm. Thegenetic-annealing hybrid algorithm is implemented by Matlab and is applied on a ticket-selling sample. The experiments indicate the validness of our optimal integrated models and the effectiveness of our mixed algorithm. As a result, we expect this paper would offer some new thoughts and references to the comprehensive sharing of our amounts of railway IT resource materials and the essential transition of the information service style.