灰色关联分析和粒子群优化算法相融合的合作伙伴选择

针对目前解决云服务商合作伙伴选择问题方法均存在如搜索速度变慢、实用性差、难以获得完全合理的选择方案等不足,提出了一种灰色关联分析和粒子群优化(PSO)算法相融合的合作伙伴选择方法。首先采用灰色关联法对云服务商的评价指标进行筛选,并计算每一种指标的权重值;然后建立云环境下服务商合作伙伴选择问题的数学模型,并采用粒子群算法对其进行求解,找到云服务商合作伙伴选择的最佳方案。具体应用实例性能测试结果验证了方法的有效性和合理性,它可以选择出最佳的合作伙伴。

Partner selection based on grey relational analysis and particle swarm optimization algorithm

Concerning the slow searching, poor practicability and being difficult to get a perfectly reasonable options of the methods for solving the problem of cloud services partner selection, a new partner selection method was proposed based on grey relational analysis and Particle Swarm Optimization (PSO) algorithm. Firstly, grey relational analysis method was used to select evaluation indexs of cloud providers, then the weight of each index value was calculated. Secondly, the mathematical model of services partner selection problems in cloud environment was built, then it was solved by using PSO algorithm to find the best partners. Performance test results of specific application examples show that the proposed method is feasible and rational, and can select the best partners.