Optimization of quasar parametrization using Genetic Algorithms

In this paper we extend features of our open source R package that will enable new modern research methodology for astronomers with data and algorithms deep analyses. Methods of Genetic Algorithms (GA) were added to this computational project made of nosql database and intelligent numerical algorithms searching for most extreme extragalactic objects. In future we accelerate GA with OpenCL and CUDA kernels just to enable opportunities for finding very rare astronomical objects or classifying and clustering the well known ones. The greater computational power, the better search and astronomical databases will be created, the more improvements can be introduced into parametrization algorithms for future massive surveys.