Abstract
In order to improve the effect of agricultural machinery task scheduling, this paper starts from the perspective of multiobjective optimization to achieve task scheduling based on multiobjective particle swarm optimization algorithm. The position of each particle is a combination of resource options for each construction activity, and the displacement range and speed range of the particles are determined. Moreover, this paper uses the method of introducing an external storage library to store the current noninferior solutions and uses the adaptive grid method and the roulette selection method to select the global optimal solution of the particles. In addition, this paper proposes a task scheduling algorithm suitable for modern agricultural machinery based on the actual needs of current agricultural machinery task scheduling. The experimental results show that the agricultural machinery task scheduling algorithm based on multiobjective optimization proposed in this paper has a good agricultural machinery task scheduling effect and meets the basic purpose of optimizing the algorithm in this paper.
Highlights
With the development of the times, farmers’ demand for agricultural machinery has become more and more urgent, and organizations such as agricultural cooperatives have gradually emerged
Based on the above analysis, this paper applies the multiobjective optimization research algorithm to agricultural machinery task scheduling and proposes a task scheduling algorithm suitable for modern agricultural machinery to improve the efficiency of agricultural machinery task scheduling and improve agricultural machinery management efficiency and agricultural machinery production efficiency
This paper designs an agricultural machinery operation and maintenance management system, which has the functions of agricultural machinery information management, agricultural machinery location monitoring, and communication scheduling
Summary
With the development of the times, farmers’ demand for agricultural machinery has become more and more urgent, and organizations such as agricultural cooperatives have gradually emerged. Remote monitoring and management systems using 3S (GIS, GPRS, and GPS) and other key technologies have been widely used in transportation, logistics, and other fields The application of these technologies provides effective means for agricultural machinery information supervision services. The forms of socialized agricultural machinery services have continued to innovate, from organic households’ mutual assistance to farming, to joint household operations, to joint-stock cooperative operations and cross-regional operations, fundamentally solve the problems of large-scale operation of agricultural machinery and small-scale production of hundreds of millions of farmers. Agricultural machinery service providers include agricultural machinery cooperative organizations and agricultural production operation contracting companies They purchase agricultural machinery of different types of operations on a large scale to provide agricultural machinery demanders. Based on the above analysis, this paper applies the multiobjective optimization research algorithm to agricultural machinery task scheduling and proposes a task scheduling algorithm suitable for modern agricultural machinery to improve the efficiency of agricultural machinery task scheduling and improve agricultural machinery management efficiency and agricultural machinery production efficiency
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