Research on Solving Crop Planting Strategies Based on Particle Swarm Optimization Algorithm

Xingbang Zou; Zhiqi Li

doi:10.54097/qrcfvs11

Authors

Xingbang Zou
Zhiqi Li

DOI:

https://doi.org/10.54097/qrcfvs11

Keywords:

Particle Swarm Optimization Algorithm, Clustering Algorithm, Analytic Hierarchy Process, Multiple Linear Regression Model.

Abstract

In order to fully utilize the limited arable land resources in the rural area and improve the profits of the rural planting industry, this article mainly uses particle swarm optimization algorithm, and combines other models to determine the optimal strategy for crop planting in the rural area. Establish a mathematical programming model and use particle swarm optimization algorithm to solve for the planting strategy that maximizes the profit of the village under the given constraints. Firstly, write the objective function equation based on the given conditions. Subsequently, based on the constraints in the question, write down the constraints and add a penalty function to the objective function. Finally, the particle swarm algorithm is used to solve for the optimal planting strategy, and the crop planting area for each plot is allocated based on the obtained results. Using the planting strategy determined in this article, the annual profit of the village is approximately 6 million yuan; under another constraint, the annual profit of the village is approximately 8 million yuan.

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