针对基于Web的制造资源服务平台中的制造资源服务选择优化问题,建立了制造资源的质量属性模型,提出了一种基于质量的遗传算法。该算法设计了一种资源一任务关系矩阵编码方式;选择、交叉、变异等遗传操作只对矩阵主对角线上的任务位进行;适应度函数的设计采用制造资源服务组合的质量属性来描述。应用MATLAB遗传算法工具箱编程验证了该算法的合理性和实用性。
This paper studied manufacturing resource management system of Web service platform, genetic algorithm, and quality property of service. In order to choose the best combination of services, and to meet the requirement from manufactur- ing resource service requestors, put forward the QoS-based genetic algorithm model. The algorithm used resources-task matrix coding. Chromosome was a specific performance of task on the main diagonal, which was a combination. Choice, crossover and mutation were only operated on the task bits of the main diagonal matrix. Described the fitness function in quality. In ad- dition, tested the model its feasibility and practicability by MATLAB.