Application of multi-objective comprehensive optimization model of soil and water conservation based on genetic algorithm

Abstract

Soil and water conservation as the focus of the development of urban construction, in the development of modern economic and technological innovation, international scholars applying artificial intelligence to construct the integrated optimization model of soil and water conservation, in order to provide effective reference for solving the problem of soil erosion, avoid the destruction of their homes by human beings rely on, really realize the goal of sustainable development. As a basic part of artificial intelligence research, genetic algorithm plays an active role in solving IP problems in combinatorial optimization. Therefore, on the basis of understanding the genetic algorithm and the research status of soil and water conservation, this paper mainly discusses the application effect of the multi-objective comprehensive optimization model of soil and water conservation with the genetic algorithm as the core. The final experimental results prove that the comprehensive optimization model constructed by RAGA accelerated genetic algorithm proposed in this paper can comprehensively improve the multi-parameter optimization ability, and has reliability and applicability characteristics in practice, which provides an effective basis for the soil and water conservation work of urban construction and development in the new era.