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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Bibliographic Details
Published in:	Computers and electronics in agriculture Vol. 197; p. 106995
Main Authors:	Jing, Yunpeng, Luo, Chengming, Liu, Gang
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.06.2022 Elsevier BV
Subjects:	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 Access:	Get full text
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