Dynamic Resource Allocation Strategy of Multi-Objective Fuzzy Optimization Based on Markov Decision Process

Abstract

With the limited amount of national defense resources, the dynamic allocation of resources in overall project construction is conducive to improving the efficiency of project construction. In this regard, this paper constructs a dynamic resource allocation model of multi-objective and multi-stage fuzzy optimization based on the Markov decision process (MDP). On this basis, this paper further adopts the Q-learning algorithm to seek strategy optimization. At last, this paper determines the resource allocation strategy that can optimize the total benefit of construction projects through the example analysis. Relevant results reveal that the dynamic resource allocation model of multi-objective and multi-stage fuzzy optimization based on MDP can achieve the effect of optimizing the project construction objectives and maximizing the construction output.

Keywords

• Dynamic resource allocation
• fuzzy optimization
• Markov decision process model
• Q-learning algorithm