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. 


A genetic algorithm for a sensor device location problem / D'Amato, Egidio; Daniele, Elia; Mallozzi, Lina. - 36:(2015), pp. 49-57.

A genetic algorithm for a sensor device location problem

D'AMATO, EGIDIO;DANIELE, ELIA;MALLOZZI, LINA
2015

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. 

2015
9783319115412
A genetic algorithm for a sensor device location problem / D'Amato, Egidio; Daniele, Elia; Mallozzi, Lina. - 36:(2015), pp. 49-57.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/652435
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