Evolving sensor suites for enemy radar detection

    Authors

    A. S. Yilmaz; B. N. McQuay; H. Yu; A. S. Wu;J. C. Sciortino

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Keywords

    Computer Science, Interdisciplinary Applications; Computer Science, ; Theory & Methods

    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.

    Journal Title

    Genetic and Evolutionary Computation - Gecco 2003, Pt Ii, Proceedings

    Volume

    2724

    Publication Date

    1-1-2003

    Document Type

    Article

    Language

    English

    First Page

    2384

    Last Page

    2395

    WOS Identifier

    WOS:000185074300130

    ISSN

    0302-9743; 3-540-40603-4

    Share

    COinS