Mixed Integer Programming for the Numerical Simulation of an Integrated Crop-Livestock System under No-Tillage

Angel Ramon Sanchez Delgado; Vinicius Nascimento; Sergio Drumond Ventura

Mixed Integer Programming for the Numerical Simulation of an Integrated Crop-Livestock System under No-Tillage

Angel Ramon Sanchez Delgado *

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Vinicius Nascimento

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Sergio Drumond Ventura

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Mixed Integer Programming for the Numerical Simulation of an Integrated Crop-Livestock System under No-Tillage

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Abstract

The objective was to develop and implement a model of mixed integer programming (MIP) that numerically represented or simulated the optimum operating conditions of an integrated crop-livestock system with no-tillage (iCLS-NT), including animal transit. For the computational implementation of the model, we needed data on the fitness of the live weight gain of each animal of the considered herd, in each period and in each area of the iCLS-NT (confinement, pasture and annual crop), as well as marginal net income of each culture and costs per unit of the considered food. To test the validity of the developed mathematical model, we generated random values. To solve the problems, we used the MATLAB solver for mixed integer programming problems. Thus, after the computational implementation was carried out, we verified that the program satisfied all imposed constraints, maximized the weight gain of each animal, provided the best selection of annual crops and minimized the feed costs in the confinement area.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Angel Ramon Sanchez Delgado, Vinicius Nascimento, Sergio Drumond Ventura. 2019. "Mixed Integer Programming for the Numerical Simulation of an Integrated Crop-Livestock System under No-Tillage". Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 19 (GJSFR Volume 19 Issue F1).

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GJSFR Volume 19 Issue F1

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

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Classification

GJSFR-F Classification MSC 2010: 90C11

Submission ReceivedDecember 4, 2018
Peer Review Double Blind
Handling Editor
Accepted December 26, 2018
Published January 6, 2019

Version of record

v1.2

Issue date

April 19, 2019

Language

English

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Article Matrices

Total Score: 147

Country: Brazil

Subject: Global Journal of Science Frontier Research

Authors: Angel Ramon Sanchez Delgado, Vinicius Teixeira Do Nascimento, Sergio Drumond Ventura (PhD/Dr. count: 0)

View Count (all-time): 264

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Publish Date: 2019 01, Sun

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Total Views: 1K

Total Downloads: 45

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