A Multiregional Agricultural Machinery Scheduling Method Based on Hybrid Particle Swarm Optimization Algorithm

The reasonable scheduling of agricultural machinery can avoid their purposeless flow during the operational service and reduce cost centers. In this research, a multiregional model with time window was established considering timeliness operation. This divided into two stages: first stage, regions were through Voronoi diagram, farmlands distributed to intraregional second solved using hybrid particle swarm optimization (HPSO). algorithm improves performance by introducing crossover, mutation, elimination mechanism, linear differential inertia weight trigonometric function learning factor. Next, accuracy effectiveness are verified different experimental samples. results show that effectively cost, has advantages strong global ability, high stability, fast convergence speed. Subsequent comparison proves HPSO better in situations, solve problem, provides scheme for multiarea multifarmland operations.