Title

Evolving Sensor Suites For Enemy Radar Detection

Abstract

Designing optimal teams of sensors to detect the enemy radars for military operations is a challenging design problem. Many applications require the need to manage sensor resources. There is a tradeoff between the need to decrease the cost and to increase the capabilities of a sensor suite. In this paper, we address this design problem using genetic algorithms. We attempt to evolve the characteristics, size, and arrangement of a team of sensors, focusing on minimizing the size of sensor suite while maximizing its detection capabilities. The genetic algorithm we have developed has produced promising results for different environmental configurations as well as varying sensor resources. © Springer-Verlag Berlin Heidelberg 2003.

Publication Date

1-1-2003

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

2724

Number of Pages

2384-2395

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/3-540-45110-2_130

Socpus ID

35248865770 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/35248865770

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