Optimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm

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 operatio...

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Autores principales:	Li Liu, Tong Chen, Shijie Gao, Ye Liu, Shuguo Yang, Xinli Wang*
Formato:	article
Lenguaje:	EN
Publicado:	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021
Materias:	agricultural machinery allocation particle swarm optimization algorithm path planning Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/dffe45d9376d4df29222f8f9b09286ab
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id	oai:doaj.org-article:dffe45d9376d4df29222f8f9b09286ab
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spelling	oai:doaj.org-article:dffe45d9376d4df29222f8f9b09286ab2021-11-07T00:34:26ZOptimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm1330-36511848-6339https://doaj.org/article/dffe45d9376d4df29222f8f9b09286ab2021-01-01T00:00:00Zhttps://hrcak.srce.hr/file/383552https://doaj.org/toc/1330-3651https://doaj.org/toc/1848-6339Aiming 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.Li LiuTong ChenShijie GaoYe LiuShuguo YangXinli Wang*Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek articleagricultural machinery allocationparticle swarm optimization algorithmpath planningEngineering (General). Civil engineering (General)TA1-2040ENTehnički Vjesnik, Vol 28, Iss 6, Pp 1885-1893 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	agricultural machinery allocation particle swarm optimization algorithm path planning Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	agricultural machinery allocation particle swarm optimization algorithm path planning Engineering (General). Civil engineering (General) TA1-2040 Li Liu Tong Chen Shijie Gao Ye Liu Shuguo Yang Xinli Wang* Optimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm
description	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.
format	article
author	Li Liu Tong Chen Shijie Gao Ye Liu Shuguo Yang Xinli Wang*
author_facet	Li Liu Tong Chen Shijie Gao Ye Liu Shuguo Yang Xinli Wang*
author_sort	Li Liu
title	Optimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm
title_short	Optimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm
title_full	Optimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm
title_fullStr	Optimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm
title_full_unstemmed	Optimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm
title_sort	optimization of agricultural machinery allocation in heilongjiang reclamation area based on particle swarm optimization algorithm
publisher	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
publishDate	2021
url	https://doaj.org/article/dffe45d9376d4df29222f8f9b09286ab
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_version_	1718443643510980608

Optimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm

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