Multiobjective path optimization for autonomous land levelling operations based on an improved MOEA/D-ACO

•Path optimization in headland turning sequence for autonomous land levelling operation.•A novel field model construction and decomposition strategy was proposed.•Three-objective levelling path optimization problems with constraints were defined.•An improved MOEA/D-ACO algorithm was proposed to opti...

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Veröffentlicht in:	Computers and electronics in agriculture Jg. 197; S. 106995
Hauptverfasser:	Jing, Yunpeng, Luo, Chengming, Liu, Gang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.06.2022 Elsevier BV
Schlagworte:	agriculture Algorithms ant colonies Ant colony (ACO) Ant colony optimization Autonomous land levelling Decomposition Decomposition-based evolutionary algorithms (MOEA/D) Earthwork electronics Elevation Environment models environmental models Evolutionary algorithms Global navigation satellite system Guidance systems landscapes Leveling Multipath optimization Multiple objective analysis Mutation Optimization Steering system optimization Terrain models travel NSGA-II CPP PS RTK EHNS Ppm SA Autonomous land levelling Decomposition-based evolutionary algorithms (MOEA/D) MOEA/D-FMACO GA IDW Ant colony (ACO) GNSS Multipath optimization NSGA-III RMSE PSO ACO DEM MOEA/D MOP TSP PA MOEA/D-ACO PF GLNPSO
ISSN:	0168-1699, 1872-7107
Online-Zugang:	Volltext
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