Implementation of Genetic Algorithm Technique for Solving ROP Detector Layout Optimization Problem
33rd Annual CNS Conference - 2012 June 10-13

Presented at:
33rd Annual CNS Conference
2012 June 10-13
Saskatoon, Canada
Session Title:
OPEX & Maintenance-2

Doddy Kastanya (Candu Energy Inc.)
Barbu Fodor (Candu Energy Inc.)


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.

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