Multi Objective Intelligent Allocation Algorithm for Agricultural Machinery

Abstract

Aiming at the problem of non-scientific and rational allocation of agricultural land in China's agricultural machinery, this paper proposes a multi objective intelligent allocation algorithm (MAA), and establishes an optimization model with the optimal income as the goal. MAA algorithm is based on the idea of deep search and dynamic planning, according to natural factors such as weather, road conditions, location, agricultural machinery factors such as the master subjective factors, machine capacity, farmland factors such as operating prices, operating time windows and other constraints, generates multiple set of job paths sorted by earnings. Finally, the simulation results show that the MAA algorithm can provide the global optimal scheme of the job path for the owner, and the average performance of the MAA algorithm are increased by 32% compared with the general allocation algorithm (GAA), which can effectively to solve the current agricultural equipment deployment problem.