Improved Glasius bio-inspired neural network for target search by multi-agents

This paper focuses on solving the multi-agent cooperative target search problem with the demand for obtaining the maximal cumulative detection reward, given the prior target probability map and the sensor detection ability under various constraints. First, a topologically organized model of Glasius...

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Veröffentlicht in:	Information sciences 2021-08, Vol.568, p.40-53
Hauptverfasser:	Yao, Peng, Zhao, Zhiyao
Format:	Artikel
Sprache:	eng
Schlagworte:	Cumulative detection reward Gaussian mixture model (GMM) Glasius bio-inspired neural network (GBNN) Multi-agent cooperative target search
Online-Zugang:	Volltext
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