Research on the Application System of Multi-Objective Optimization Algorithm in the Allocation of Educational Resources in Colleges and Universities

This article examines the application system of multi-objective optimization algorithm in resource allocation, to enhance the fairness and efficiency of resource allocation. Resource allocation encompasses multiple objectives, such as maximizing resource utilization, minimizing costs and guaranteeing fairness, thus it is extremely crucial to construct a rational optimization model. This paper first designs a resource allocation algorithm based on multi-objective optimization, combining the weight allocation method and the Pareto optimal solution to adapt to the diversified needs of resources. Then a simulation platform is constructed to simulate the actual resource allocation scenario through the operation of the algorithm, and the allocation results are accurately analyzed. The experimental outcomes demonstrate that the algorithm can effectively enhance the efficiency and fairness of resource allocation within different resource limitations. In comparison with the traditional allocation approach, the resource utilization ratio is raised by over 15%, the cost is decreased by approximately 10%, and the fairness index is notably optimized. This system not only provides a reference for the reasonable allocation of resources, but also lays the foundation for the dynamic optimization of resource allocation.