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

DOI10.1016/J.INS.2021.03.056zbMath1527.68242OpenAlexW3144376613MaRDI QIDQ6064523

Zhiyao Zhao, Peng Yao

Publication date: 9 November 2023

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2021.03.056

zbMATH Keywords

Gaussian mixture modelGlasius bio-inspired neural networkcumulative detection rewardmulti-agent cooperative target search

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Agent technology and artificial intelligence (68T42)

Cites Work

• An innovative multi-agent search-and-rescue path planning approach
• Markov Chains With Maximum Return Time Entropy for Robotic Surveillance

This page was built for publication: Improved Glasius bio-inspired neural network for target search by multi-agents