Tehnički vjesnik, Vol. 28 No. 6, 2021.
Izvorni znanstveni članak
https://doi.org/10.17559/TV-20210427163416
Optimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm
Li Liu
; College of Engineering, Heilongjiang Bayi Agricultural University, Xinyang Road, Daqing, Heilongjiang 163319, China
Tong Chen
; College of Economics and Management, Heilongjiang Bayi Agricultural University, Xinyang Road, Daqing, Heilongjiang 163319, China
Shijie Gao
; Beidahuang Group Heilongjiang Jianshan Farm Co., Ltd., Nenjiang, Heilongjiang 161499, China
Ye Liu
; College of Economics and Management, Heilongjiang Bayi Agricultural University, Xinyang Road, Daqing, Heilongjiang 163319, China
Shuguo Yang
; College of Economics and Management, Heilongjiang Bayi Agricultural University, Xinyang Road, Daqing, Heilongjiang 163319, China
Xinli Wang*
; College of Engineering, Heilongjiang Bayi Agricultural University, Xinyang Road, Daqing, Heilongjiang 163319, China
Sažetak
Aiming at the imbalance of seasonal agricultural machinery operations in different regions and the low efficiency of agricultural machinery, an experiment is proposed to use particle swarm algorithm to plan agricultural machinery paths to solve the current problems in agricultural machinery operations. Taking the harvesting of autumn soybeans at Jianshan Farm in Heilongjiang Reclamation Area as the experimental object, this paper constructs the optimization target model of the maximum net income of farm machinery households, and uses particle swarm algorithm to carry out agricultural machinery operation distribution and path planning gradually. In this paper, by introducing 0 - 1 mapping, the improved algorithm adopts continuous decision variables to solve the optimization of discrete variables in agricultural machinery operations. The test results show that the particle swarm algorithm can realize the optimal allocation of agricultural machinery path, and the particle swarm algorithm is scientific and explanatory to solve the agricultural machinery allocation problem. This research can provide a scientific basis for farm agricultural machinery allocation and decision analysis.
Ključne riječi
agricultural machinery allocation; particle swarm optimization algorithm; path planning
Hrčak ID:
264046
URI
Datum izdavanja:
7.11.2021.
Posjeta: 914 *