Intelligent scheduling method for multi-machine cooperative operation based on NSGA-III and improved ant colony algorithm

•The command intelligent scheduling model of harvester and grain truck is established.•The global optimal scheduling problem is solved based on NSGA-III genetic algorithm.•Local obstacle avoidance shortest path planning is carried out based on the improved ant colony algorithm.•The optimal schedulin...

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Veröffentlicht in:	Computers and electronics in agriculture Jg. 204; S. 107532
Hauptverfasser:	Li, Shichao, Zhang, Man, Wang, Ning, Cao, Ruyue, Zhang, Zhenqian, Ji, Yuhan, Li, Han, Wang, Hao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2023
Schlagworte:	agricultural machinery and equipment agriculture algorithms Ant colony algorithm electronics grid maps Multi-machine cooperative operation Multi-objective combinatorial optimization NSGA-III prediction Scheduling planning model Scheduling planning model NSGA-III Multi-machine cooperative operation Ant colony algorithm Multi-objective combinatorial optimization
ISSN:	0168-1699, 1872-7107
Online-Zugang:	Volltext
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