• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. A genetic algorithm for a sensor device location problem
 
  • Details
  • Full
Options
2015
Book Article
Title

A genetic algorithm for a sensor device location problem

Abstract
In this paper we present a noncooperative game theoretical model for the well known problem of experimental design. A virtual player decides the design variables of an experiment and all the players solve a Nash equilibrium problem by optimizing suitable payoff functions. We consider the case where the design variables are the coordinates of n points in a region of the plane and we look for the optimal configuration of the points under some constraints. Arising from a concrete situation, concerning the ARGO-YBJ experiments, the goal is to find the optimal configuration of the detector, consisting of a single layer of resistive plate counters. Theoretical and computational results are presented for this location problem.
Author(s)
D'Amato, E.
Daniele, E.
Mallozzi, L.
Mainwork
Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences  
DOI
10.1007/978-3-319-11541-2_3
Language
English
Fraunhofer-Institut für Windenergiesysteme IWES  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024