Environmental Governance and Protection Financing Scheme Based on a Dimensional Multi-Objective Genetic Algorithm
Fangying Yuan, Xue Li, Fei Peng
Progress in Computing Application, Vol. 12, No. 2, 2023.
DOI: https://doi.org/10.6025/pca/2023/12/2/35-44
Link: https://www.dline.info/pca/fulltext/v12n2/pcav12n2_2.pdf
Abstract:
This article proposes an environmental governance and protection financing scheme based on a low-dimensional multi-objective genetic algorithm to solve the problem of insufficient funding for environmental governance and protection projects. This plan effectively utilises funds, improves investment returns, and reduces risks by optimizing portfolio investments. This article first introduces the background and significance of environmental governance and protection financing, then elaborates on applying a low dimensional multi-objective genetic algorithm in optimizing portfolio investment. Finally, the feasibility and effectiveness of this scheme are verified through experiments. The experimental results indicate that the environmental governance and protection financing scheme based on a low dimensional multi-objective genetic algorithm can effectively solve the financing problem of environmental governance and protection projects and has important theoretical significance and practical application value.