Research on Agricultural Planting Optimization Model Based on Nonlinear 0-1 Integer Programming

Jinghan Lin; Zhibin Huang; Hu Jie; Yanyu Zhang

doi:10.54097/kwztrn41

Authors

Jinghan Lin
Zhibin Huang
Hu Jie
Yanyu Zhang

DOI:

https://doi.org/10.54097/kwztrn41

Keywords:

Nonlinear 0-1 Integer Programming, Genetic algorithm, Crop Planting Optimization, Agricultural Optimization Model.

Abstract

With the development of the times, people pay more attention to the sustainable development of the rural economy. Planning the planting programme from the maximum planting profit is of great significance to improve the production efficiency and reduce the planting risk, develop organic agriculture, and achieve the sustainable development of rural economy. In order to accurately derive the maximum planting profit of the year, based on nonlinear 0-1 integer planning model and genetic algorithm theory, and using multiple uncertain factors such as arable land type, crop production pattern, cultivation operation and field management and expected sales volume of crops, planting cost in rural areas in the mountainous regions of North China, visualize the data and expand the number of plots, and establish a comprehensive statistical table of crops with several Matrix tables. We proposed judgement factor, random fluctuation factor, replacement complementary elasticity index, and constructed planting planning based on a nonlinear 0-1 integer planning model.

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