A Multi-Objective Online Terrain Coverage Approach

Michael Preuß ()
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Michael Preuß: Fakultät für Informatik

A chapter in Operations Research Proceedings 2013, 2014, pp 347-353 from Springer

Abstract: Abstract This paper introduces a new multi-objective optimization approach in the field of terrain coverage. With the help of the multi-objective online terrain coverage model, a decentralized autonomous swarm is able to cover an unknown environment. This innovative terrain coverage model has a high impact on autonomous vehicle applications because it considers conflicting objective functions during the coverage process. This important improvement opens up new possibilities for real world applications. The design methodology is based on combining an auction based algorithm with a multiple ant colony optimization route planning algorithm. Experimental analysis is performed on the presented online terrain coverage model which includes the multi-objective route optimization and also a single-objective route optimization. The analysis shows that a multi-objective approach can reduce the repeated coverage and therefore the total coverage time.

Keywords: Information Gain; Object Task; Coverage Process; Pheromone Matrice; Pheromone Matrix (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-07001-8_47

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DOI: 10.1007/978-3-319-07001-8_47

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