A pursuit-evasion game robot controller design based on a neural network with an improved optimization algorithm

A pursuit-evasion game (PEG) is a type of game that utilizes one or several cooperative pursuers to capture one or several evaders. The PEG game concept has been used in different multi-robot applications such as transportation or navigation applications, search and rescue, surveillance applications...

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Vydáno v:	Results in control and optimization Ročník 17; s. 100503
Hlavní autoři:	Hasan, Mustafa Wassef, Ibrahim, Luay G.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.12.2024 Elsevier
Témata:	Differential two-wheel robot (DTWR) Improved sine cosine algorithm based chaotic theory (ISCACT) Neural network Obstacles avoidance Pursuit-evasion game (PEG) Improved sine cosine algorithm based chaotic theory (ISCACT) Obstacles avoidance Neural network Differential two-wheel robot (DTWR) Pursuit-evasion game (PEG)
ISSN:	2666-7207, 2666-7207
On-line přístup:	Získat plný text
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