Application of a genetic algorithm for solving problems of optimization of placement and rotation of crops in cotton crops
Abstract
Currently, the rational distribution of cotton and fodder crops with their combination in crop rotation fields is relevant. This task is solved in two stages. The first is the placement of cotton and other crops in the fields of crop rotation. The implementation allows determining in which field a particular crop should been sown. Such a task considers as a static one and its model develops taking into account the main natural and economic conditions of the economy. The second task considers as dynamic. It allows to determine in which years of rotation in which field a particular crop should been sown. The development model of the task bases on information obtained from the static task and from the crop rotation table in the crop rotation. The main purpose of the article is to solve the problems of optimizing the placement and rotation of crops in the cotton crop rotation. The genetic algorithm is used to solve this problem. The computational experiment was implemented