Evaluation model of forest eco economic benefits based on discrete particle swarm optimization

In order to evaluate the comprehensive benefits of forest ecological economy, a model based on discrete particle swarm optimization is proposed. First of all, the discrete particle swarm optimization algorithm is defined and introduced into the evaluation parameters of forest ecological and economic benefits for internal processing, and the evaluation model of forest ecological and economic benefits is constructed. Optimize the system evaluation of the model, continuously develop the internal model structure adjustment operation, and finally obtain the experimental data needed by the system. The experimental results show that the model based on the discrete particle swarm optimization algorithm has better convergence, better optimization and robustness, and has higher practical application value. (C) 2021 Elsevier B.V. All rights reserved.

Automated summary

In this study, a model based on discrete particle swarm optimization was proposed to evaluate the comprehensive benefits of forest ecological economy. Experimental results showed that the model has better convergence, optimization performance, and practical application value.