SOLVING OPTIMIZATION PROBLEMS USING EVOLUTIONARY ALGORITHMS

Authors

  • Дилноз Мухамедиева National Research University "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers", Uzbekistan

Keywords:

mathematical model, objective function, mutation, crossing, crop rotation optimization model.

Abstract

The study aims to develop effective crop rotation management strategies to optimize resource use and increase crop yields. The paper presents strategies for managing a crop rotation system aimed at the optimal distribution of areas for different crops, rational use of resources, and emergency management. A genetic and ant algorithm is proposed for solving problems. The model is calibrated and validated using available data, followed by scenario analysis to evaluate different options.

References

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Art. Number 15880.

Published

2024-07-20

How to Cite

SOLVING OPTIMIZATION PROBLEMS USING EVOLUTIONARY ALGORITHMS. (2024). Universal International Scientific Journal, 1(7), 65-71. https://universaljurnal.uz/index.php/jurnal/article/view/874