Genetic algorithms for positioning and utilizing sensors in synthetically generated landscapes


Topcuoglu H. R. , Ermis M.

8th Annual Genetic and Evolutionary Computation Conference, Washington, United States Of America, 8 - 12 July 2006, pp.1801-1802 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Washington
  • Country: United States Of America
  • Page Numbers: pp.1801-1802

Abstract

Positioning multiple sensors for acquisition of a a given environment is one of the fundamental research areas in various fields, such as military scouting, computer vision and robotics. In this paper, we propose a framework for locating an configuring a set of given sensors in a synthetically generated terrain with multiple objectives of maximization of visibility of the terrain, maximization of stealth of the sensors and minimization of cost of the sensors. Because of their utility-independent nature, these complementary and conflicting objectives are represented by a multiplicative global utility function based on multi-attribute utility theory. In addition to theoretic foundations, we also present how a Genetic Algorithms can be applied to maximize the global utility function for a given terrain.