A meta-heuristic algorithm combined with deep reinforcement learning for multi-sensor positioning layout problem in complex environment

In a multi-sensor positioning system (MSPS), the layout of sensors plays a crucial role in determining the system’s performance. Therefore, addressing the sensor layout problem (SLP) within the MSPS is an essential approach to achieve high-precision location information. However, equipment failures...

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Veröffentlicht in:	Expert systems with applications Jg. 261; S. 125555
Hauptverfasser:	Ning, Yida, Bai, Zhenzu, Wei, Juhui, Nagaratnam Suganthan, Ponnuthurai, Xing, Lining, Wang, Jiongqi, Song, Yanjie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2025
Schlagworte:	Constrained multi-objective evolutionary algorithm Deep Q network Multi-operator reproduction Multi-sensor positioning system Sensor layout problem Deep Q network Sensor layout problem Constrained multi-objective evolutionary algorithm Multi-sensor positioning system Multi-operator reproduction
ISSN:	0957-4174
Online-Zugang:	Volltext
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