This paper is concerned with the performance optimization of an array of at most six imaging atmospheric Cherenkov telescopes as a function of their positions on the ground. Two types of telescopes were used, with ranges of detection equal to 300 m or 500 m. The ideas presented here were developed around an alternative way that employs a modelling step and the implemen- tation of an evolutionary algorithm. We look for configurations that were not investigated by Monte Carlo simulations yet. We found solutions repre- sented by geometric shapes with 3 to 6 telescopes. This is an initial work and the methods developed here have potential applications in other optimization issues on Gamma Ray Astronomy.

Gamma-ray astronomy, imaging atmospheric Cherenkov telescopes, multi-objective optimization, EliteNSGA-III.

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