Abstract: At present, many of supporting units are based on artificial decision when they deployed resources of equipment support. Using the experience, route is chosen and a security scheme is formed. But artificial decision-making is not scientific, the path is not optimal and the scheme is unreasonable. According to the above conditions, this paper uses ant colony algorithm to experiment with different parameter values, and puts forward the best solution, optimizes route selection in the allocation of resources, then improves the basic ant colony algorithm. The experimental comparison results show that the improved ant colony algorithm can reduce the delay and improve the efficiency of the route optimization.

Key words: equipment support, ant colony algorithm, resource allocation, route optimization, algorithm improvement
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