Multi-Station Agricultural Machinery Scheduling Based on Spatiotemporal Clustering and Learnable Multi-Objective Evolutionary Algorithm

The multi-station agricultural machinery scheduling process mainly involves two key stages: order allocation and path planning. Order allocation methods based solely on spatial distance cannot ensure the continuity of agricultural operations. Multi-objective evolutionary algorithms are sensitive to...

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Vydáno v:	AgriEngineering Ročník 7; číslo 6; s. 197
Hlavní autoři:	Jia, Liruizhi, Zhang, Qinshuo, Liu, Shengquan, Kong, Bo, Liu, Yuan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.06.2025
Témata:	Agricultural cooperatives Agricultural equipment agricultural machinery operation service Agricultural production Agricultural technology Algorithms Clustering Collaboration Cooperation Design Efficiency Evolutionary algorithms Farm machinery Farmers Genetic algorithms Integer programming Methods multi-objective evolutionary algorithm multi-station agricultural machinery scheduling Multiple objective analysis Optimization algorithms Path planning Planning Regions reinforcement learning Scheduling Search methods
ISSN:	2624-7402, 2624-7402
On-line přístup:	Získat plný text
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