Optimizing services composition in cloud manufacturing based on improved ant colony algorithm

Computer Integrated Manufacturing Systems(2016)

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摘要
To solve the problem of dynamic service composition in cloud manufacturing environment,a service composition method in cloud manufacturing based on improved ant colony algorithm was presented.A sub-task evaluation model was established to calculate QoS value by analyzing the composition process of manufacturing cloud service.The value was taken as the pheromone and the transfer cost between services as the heuristic function parameter to improve ant colony algorithm with optimal path list and roulette wheel selection mechanism,and a global optimal combination was solved.The global optimal QoS comprehensive information was calculate by combination QoS model.The experiment results showed that the method could solve the problem of service composition in cloud manufacturing effectively and achieve the global optimal solution quickly.
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