Planning with ants

Rapidly exploring random trees (RRTs) have been proven to be efficient for planning in environments populated with obstacles. These methods perform a uniform sampling of the state space, which is needed to guarantee the algorithm’s completeness but does not necessarily lead to the most efficient sol...

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Veröffentlicht in:	International journal of advanced robotic systems Jg. 13; H. 5
Hauptverfasser:	Viseras, Alberto, Rafael Ortiz Losada, Merino, Luis
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Sage Publications Ltd 07.10.2016 SAGE Publishing
Schlagworte:	Algorithms Ant colony optimization Barriers Economic models Heuristic Optimization techniques Performance evaluation Planning Robots Sampling methods Shortest path planning Trees User requirements Utility functions
ISSN:	1729-8806, 1729-8814
Online-Zugang:	Volltext
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