Agricultural machine dispatching method based on improved immune taboo algorithm

Abstract

The invention provides an improved immune taboo algorithm based on an immune algorithm targeting agricultural machine task dispatching. The improved immune taboo algorithm comprises the steps that (1) all units are initialized; (2) an antibody population is initialized; (3) antibody population diversity is evaluated; (4) a current optimal fitness value is recorded, and average fitness is calculated and recorded; (5) a memory bank is updated, and a parent antibody population is formed; and (6) termination conditions are judged. According to the improved immune taboo algorithm, at a variation stage of the immune algorithm, a TSA operator based on a taboo search algorithm is designed by improving a neighborhood solution generation mode; at the variation stage and a fractal iteration stage of the immune algorithm, a search result of the TSA operator is adopted to serve as an antibody after variation so as to improve the climbing performance of the algorithm and increase the rate of convergence; and later, a uniform variation and taboo search concurrent strategy is adopted to guarantee population diversity and shorten optimization time. The improved immune taboo algorithm is applied to agricultural machine dispatching and is suitable for all kinds of agricultural production practice to enhance production service efficiency of agricultural machines.

Description

technical field [0001] The invention belongs to the field of intelligent agriculture, in particular to an agricultural machine scheduling method based on an improved immune taboo algorithm. Background technique [0002] my country's traditional agriculture is transforming into modern agriculture. Realizing the deep integration of informatization and agricultural industry and extensive intelligence is the main feature and inevitable trend of the future development of my country's modern agriculture. necessary condition. To transform traditional agriculture and develop modern agriculture, there is an urgent need to use Internet of Things technology to implement digital design, intelligent control, precise operation and scientific management of various agricultural elements such as field planting and facility gardening, so as to realize the "realization" of various agricultural elements. Comprehensive perception, reliable transmission and intelligent processing". The developme...

AI Technical Summary

Problems solved by technology

[0003] The existing research on agricultural machinery scheduling mainly focuses on the hardware platform construction and test operation of the agricultural machinery monitoring system. For the management department, it can only monitor and feed back the operation information of the agricultural machinery, or use a simple pathfinding algorithm to determine the driving path of the agricultural machinery

Moreover, in today's agricultural production process, agricultural machinery scheduling is mostly evaluated by expert systems or controlled by manual decision-making. Few automatic scheduling systems or tools make intelligent scheduling decisions for agricultural machinery, which cannot adapt to various conditions including time, location, road conditions, and weather. Influencing factors that interfere with decision-making cannot yet be accurate and efficient

Moreover, in the process of promoting the precision of agricultural mechanization, due to the insufficient concentration of farmland, the phenomenon of cross-regional operation of agricultural machinery often occurs, which also increases the difficulty of information management of agricultural machinery

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