Author(s)

Yang Rong^*, ShunYu Li, YuXin Wang

Affiliation(s)

School of Electronic and Information Engineering, Liaoning Technical University, Huludao 125105, Liaoning, China.

Corresponding Author

Yang Rong

ABSTRACT

In order to maximize the income of agriculture, this paper established linear programming models for the two cases of more than half selling and more than half selling with the constraints of plot area, continuous cropping restrictions, legume crop rotation, planting plots should not be dispersed and crop planting adaptability restrictions. Then it was solved by genetic algorithm, and the optimization results were divided into four categories according to the category of crops: grain, vegetables, edible fungi and beans. The uncertainty risk is measured by calculating the standard deviation of the expected sales volume, yield per mu, planting cost and sales price of crops, and the objective function of minimizing the risk is determined by the weighted sum of the four risk variances. Then, under the condition that more than half price is sold, a double objective optimization model with the objective function of maximizing income and minimizing risk is established, which is solved by NSGA-II algorithm The substitution and complementarity are incorporated into the risk model through the risk weighting mechanism, and the objective function is updated. Then, the Pareto frontier graph is generated by using NSGA-II algorithm. Compared with the results of problem 2, it is found that after considering the substitution and complementarity of agricultural products, the optimal solution set becomes more replaceable, more selective, and more extensive search space.

KEYWORDS

Double objective optimization; Genetic algorithm risk model; NSGA-II algorithm; Pareto frontier

CITE THIS PAPER

Yang Rong, ShunYu Li, YuXin Wang. Optimal planting strategy based on goal programming. Eurasia Journal of Science and Technology. 2025, 7(6): 13-17. DOI: https://doi.org/10.61784/ejst3119.

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