Dynamic Allocation and Scheduling of Multi-Resources Based on Multi-Agent Ant Colony Algorithm

Resource-constrained project scheduling and configuration determine the progress of the construction and quality. This paper constructs a model for dynamic resources allocation and scheduling based on priority and fuzzy theory. And use ant colony algorithm with trust mechanism to solve it. The algorithm simulates ant feeling of mutual trust and act and is subject to significant interaction between consciousness and unconsciousness in path selection, so that in the initial time to use their own experience, thereafter conditionally accept the trust mechanism for peers to influence the information volume, at the same time modify the amount of information on the path adaptively. In this way have good balance between accelerating the convergence and preventing early-maturing, stagnation. Each ant as an agent, the autonomy of ant agent shall be autonomous; each has some control of their own behavior. Through the port logistics scheduling system simulation applications, the results reflect the algorithm has good convergence and meet the actual production.