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A Verification Model of Collaborative Innovation Optimization System Based on Ant colony Algorithm

Xiao Zhenhong, Wang Faying

Abstract


Analyzing the collaborative evolution mechanism of the enterprises -universities- researches system, the evaluation index system of enterprises-universities-researches collaborative system are established which considering unstable of collaborative system. The improved ant colony algorithm that cited the pheromone evaporation model is applied to traversal optimization and the collaborative optimization model of enterprises-universities-researches is constructed which goal is collaborative innovation effectiveness and the elements consist of cycle time, efficiency and innovation value. Then, to realize the optimal solution of enterprises- universities-researches collaborative system and verify the improved pheromone update mechanism, the model is applied to the collaborative innovation system. Finally, verification results show that the balance of resources and loads of system have been optimized, the value of innovation have been promoted, the efficiency of innovation have been improved and the collaborative capability have been enhanced.

Keywords


Ant colony algorithm, Collaborative optimization, Optimization model.

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