Research on Agricultural Machinery Rental Optimization Based on the Dynamic Artificial Bee-Ant Colony Algorithm

Agricultural machinery rental is a new service form that uses big data in agriculture to improve the utilization rate of agricultural and promote development economy. To realize scheduling optimization cloud services, dynamic artificial bee-ant colony algorithm (DABAA) proposed solve above problem. First, practicability mathematical model production, coefficient proposed. Then mutation operation combined with bee (ABC) algorithm. Then, iterative threshold adjustment optimal fusion point evaluation are used combine ABC ant (ACO) algorithm, which not only improves search precision but also running speed. Finally, two groups comparison experiments carried out, results show DABAA can obviously speed accuracy services rental.