A Preliminary Study of Multi-task MAP-Elites with Knowledge Transfer for Robotic Arm Design

The structure design of robotic arms is of great importance on completing industrial tasks successfully. This is a typical multi-task optimization problem when considering different constraints as different tasks. However, mainstream methods for multi-task optimization such as evolutionary multitask...

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Veröffentlicht in:	2022 IEEE Congress on Evolutionary Computation (CEC) S. 1 - 8
Hauptverfasser:	Liu, Peng, Guo, Zheng, Yu, Hua, Linghu, Han, Li, Yijing, Hou, Yaqing, Ge, Hongwei, Zhang, Qiang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 18.07.2022
Schlagworte:	Complexity theory Computational efficiency Evolutionary computation Knowledge Transfer Manipulators MFEA Multi-task Optimization Multitasking QD algorithm Robotic Arm Design Service robots Task analysis
Online-Zugang:	Volltext
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