Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm

With the advent of agriculture 4.0 era, the combination of agriculture and unmanned technology has promoted the development of intelligent agriculture. However, there are relatively few studies on the agricultural robot task allocation problem to optimize the cost and efficiency of smart farms. To m...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems Jg. 25; H. 6; S. 6061 - 6073
Hauptverfasser:	Dai, Lou-Lei, Pan, Quan-Ke, Miao, Zhong-Hua, Suganthan, Ponnuthurai Nagaratnam, Gao, Kai-Zhou
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Agricultural robots Agriculture Algorithms Autonomous vehicles Bees Bees algorithm Completion time heuristic algorithm Heuristic algorithms Heuristic methods Mathematical models Metaheuristics multi-objective discrete artificial bee colony algorithm Multi-picking-robot task allocation Picking Resource management Robot kinematics Robots Search algorithms self-adaptive strategy Swarm intelligence Task analysis
ISSN:	1524-9050, 1558-0016
Online-Zugang:	Volltext
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