Optimization of an Antenna Array Using Genetic Algorithms

Optimization of Positioning of Interferometric Array Antennas Using Division Algorithm for Radio Astronomy Applications

“…Therefore, the present study improves the previous work by proposing a new algorithm; the Division Algorithm (DA) without such operators. However, the DA has an easier, faster, and more flexible procedure than the algorithm was used in Kiehbadroudinezhad et al (2014), as it will be demonstrated in the results. Even though the DA yields good results without using these operators, it could work more precisely if various operators of other algorithms such as mutation and crossover of GA are used.…”

“…The best area is selected based on possible methods such as "Roulette-wheel" selection (see, e.g., Kiehbadroudinezhad et al 2014), refer to Figure 3.…”

“…There are several notable works doneonoptimization of antenna arrays, among them: Kogan 2000; Boone 2001Boone , 2002Cohanim et al 2004;Su et al 2004;Karastergiou et al 2006;Jin & Rahmat-Samii 2008;Oliveri et al 2010;Beardsley et al 2012;Kiehbadroudinezhad et al 2014. In particular, Karastergiou et al (2006) obtained the most appropriate u-v plane sampling for lowdensity interferometers, based on the work of Keto (1997) and Boone (2001Boone ( , 2002, but they did not consider SLL suppression, which is important in astronomy applications to capture a clear image of a radio point source.…”

“…The more complicated problem of optimizing a correlator array that satisfies all possible observation conditions, such as suppressed SLL in the angular domain (l-m domain) and uniform coverage in the spatial frequency domain (u-v domain), has been considered only recently by Kiehbadroudinezhad et al (2014). Therefore, our contribution in the current paper focuses on a new algorithm that optimizes an interferometric array of antennas, in the two main aspects of the u-v sample distribution in the spatial frequency domain in both observations and SLLs in the angular domain, while considering the scientific application goals.…”

“…Moreover, with respect to previous methods and algorithms (see, e.g., Kogan 2000;Boone 2001;Sodin & Kopilovich 2002;Cohanim et al 2004;Su et al 2004;Karastergiou et al 2006;Oliveri et al 2010;Gauci et al 2013;Kiehbadroudinezhad et al 2014), Kiehbadroudinezhad et al (2014) applied the Genetic Algorithm (GA) to correlator arrays. The authors showed that the GA was able to cover the u-v plane more efficiently than the Giant Metrewave Radio Telescope (GMRT) under the same constraints.…”