Feed formula optimization method and system, computer and storage medium

Abstract

The invention discloses a feed formula optimization method and system, a computer and a storage medium, and the method comprises the steps: firstly, selecting feed formula raw materials according to actual conditions, obtaining the nutritional ingredient content of the selected raw materials by looking up a feed ingredient and nutritional value table, and determining the nutrition demand quantity of a fed animal according to the fed animal in combination with references; then, creating a feed formula optimization model, and then solving the established feed formula optimization model; and finally, optimizing a result obtained by solving through an improved tabu search algorithm, and finally obtaining an optimal feed formula. On the basis of a result obtained by a traditional optimization algorithm or an intelligent optimization algorithm, the improved tabu search algorithm is utilized to realize jumping out of local optimization global search, a better solution is found out, and the obtained feed formula not only can meet restrictive constraint conditions, but also can reduce the cost to the greatest extent.

Description

technical field [0001] The invention relates to the technical field of feed formula optimization, in particular to a feed formula optimization method, system, computer and storage medium. Background technique [0002] In the formulation and development of feed, due to the diversity of nutrient components of raw materials and the complexity of nutritional indicators required by animals, many constraints will be encountered when solving the goal. It is necessary to reduce the cost while satisfying the restrictive conditions, and multiple issues such as time complexity, search range and accuracy of the results need to be considered in the solution process, which increases the difficulty of feed formulation research. Since the traditional manual algorithm, linear programming method or local search method can no longer meet the realistic factors such as more raw materials and changing market prices of raw materials, the required results are of poor quality. Although the intellig...

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Problems solved by technology

While satisfying the restrictive conditions, it is also necessary to reduce the cost, and in the solution process, multiple issues such as time complexity, search range and accuracy of the results need to be considered, which makes feed formulation research more difficult

Since the traditional manual algorithm, linear programming method or local search method can no longer meet the requirements of reality, the formula covers more raw materials and the market price of raw materials is constantly changing. The quality of the results is poor.

Although the intelligent optimization algorithm has good performance, but simply using the swarm intelligent optimization algorithm, the result is better, but it can not always satisfy the restrictive constraint control in terms of time complexity and precision control.

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