This paper studies and designs a multi-objective optimization model to realize the rational allocation of educational resources through algorithm optimization, aiming at improving the efficiency of resource use, narrowing the educational gap between regions and ensuring that key educational indicators meet the standards. The model considers three objectives: maximizing resource efficiency, minimizing regional differences and reaching the target, and combines the constraints of total resources, demand satisfaction and non-negative. Genetic algorithm (GA) is used to solve the multi-objective optimization model. GA is suitable for dealing with complex and multi-objective optimization problems because of its parallel search ability and global search ability. The simulation experiment is based on the data of educational resources of more than 2,000 schools in 30 provinces, municipalities and autonomous regions. The results show that the experimental group has made significant improvements in resource efficiency, education quality and student satisfaction after optimizing the resource allocation, which verifies the effectiveness and feasibility of the optimization scheme. This study provides a scientific basis and practical path for solving the difficult problems in the allocation of educational resources. 

Xudong Wang. Research on Optimal Allocation of Educational Management Resources Driven by Algorithm. International Journal of New Developments in Education (2024), Vol. 6, Issue 12: 115-122. https://doi.org/10.25236/IJNDE.2024.061217.

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