Implementation of Genetic Algorithm Technique for Solving ROP Detector Layout Optimization Problem

Abstract

In recent years, two algorithms (e.g., DETPLASA and ADORE) have been developed to find a quasi-optimal solution to the ROP detector layout optimization problem. Both of these algorithms utilize the simulated annealing (SA) algorithm as their optimization engine. In the present paper, an alternative optimization algorithm, namely the genetic algorithm (GA), has been implemented as the optimization engine within the ADORE algorithm. Based on this preliminary studies performed on four different sizes of ROP systems, it has been demonstrated that the GA technique is able to produce good results.