Analysis of Optimizing Regional Economic Resource Allocation Efficiency Using Genetic Algorithm (GA)

Exploring the application of genetic algorithm (GA) to optimize the efficiency of regional economic resource allocation; Improving the efficiency of resource allocation is crucial in the process of regional economic development. Genetic algorithm is based on the principle of “survival of the fittest” and can provide an effective path for optimizing regional economic resource allocation. Conduct comprehensive research using literature review method, sort out relevant research status, clarify research direction and theoretical basis; Elaborate on the application process of genetic algorithm in regional economic resource allocation through case analysis method; At the same time, using empirical analysis methods, quantitatively evaluate the effectiveness of algorithm optimization in resource allocation efficiency. The research results indicate that by using genetic algorithms to encode regional economic resource elements, evaluating schemes under the influence of fitness functions, and conducting multiple selection, crossover, and mutation operations, the optimal resource allocation scheme can be screened, significantly improving the effectiveness and feasibility of regional economic resource allocation. This demonstrates the practical value and effectiveness of applying genetic algorithms (GA) to optimize the efficiency of regional economic resource allocation, and promotes the research to have practical reference significance. In summary, genetic algorithms can be effectively used for regional economic resource allocation, providing new ideas and methods for improving the quality of regional economic development.