Research on Soil and Water Conservation Measures Optimization Scheme Based on Improved Binary Lion Swarm Algorithm

Aiming at the Soil and Water Conservation Measures Optimization Scheme Problem, when the number of governing regions is large, the memory consumption of the Dynamic Programming Algorithm becomes excessively high, making it unsuitable as a solution algorithm. In order to solve the large-scale Soil and Water Conservation Measures Optimization Scheme Problem, an improved Binary Lion Swarm Optimization Algorithm is proposed by introducing a restriction mechanism. Secondly, a simulated experiment using real land data from Jiangjin District in Chongqing City shows that the improved Binary Lion Swarm Optimization Algorithm can reduce memory consumption by a hundredfold compared with the dynamic programming algorithm. The average solution of the algorithm can reach 99.59% of the optimal solution, and there is a certain probability that the optimal solution can be obtained. It can assist scientific researchers in soil and water conservation in choosing the appropriate measures for soil erosion regions.