Author(s)

Xinying Zhou ¹, Dongdong Chen ¹, Ruiqi Ma ¹, Fangyuan Miao ¹

Affiliation(s)

¹ Luoyang Polytechnic, Luoyang, 471000, China

Corresponding Author

Xinying Zhou

ABSTRACT

Hu sheep is an excellent breed of sheep for lambskins. Usually, to obtain greater economic benefits, the breeding of Hu sheep has certain standard sheep pens. According to gender and growth stage, Hu sheep were raised in groups. Different stages, genders and sizes of sheep have different requirements for space, so the number of sheep in each pen is determined by the factors mentioned above. This paper mainly studies the problem of space utilization in the process of Hu sheep breeding. In this paper, the multi-objective programming model, Monte Carlo model and dynamic programming are established and solved, and the specific production plan is given, so as to better solve the problem of space utilization and improve the operating efficiency. This paper first analyzed the data. According to According to the 20-day natural mating period, 149-day pregnancy period, 40-day lactation period, and 20-day postpartum period, it can be determined that the complete production cycle of a ewe is 229 days. Then determine the constraints and the objective function, establish the linear programming model to determine the reasonable number of breeding rams and ewes, and then calculate the total demand for sheep cotes and the maximum annual number of sheep to be slaughtered.

KEYWORDS

Captive Hu sheep, Linear Programming Analysis, Optimization Mathematical Model, Dynamic Programming

CITE THIS PAPER

Xinying Zhou, Dongdong Chen, Ruiqi Ma, Fangyuan Miao, Optimization of spatial utilization efficiency of captive Hu sheep based on multi-objective programming model. Agricultural & Forestry Economics and Management (2024) Vol. 7: 44-49. DOI: http://dx.doi.org/10.23977/agrfem.2024.070107.

REFERENCES

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[6] Qi Han, He Wanying, Qiu Tao, et al. Quantum approximate optimization algorithm for solving integer linear programming problems [J]. Journal of Shenyang University of Aeronautics and Astronautics, 2023, 40 (03): 28-36.
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