Generating extrema approximation of analytically incomputable functions
  through usage of parallel computer aided genetic algorithms
  This paper presents capabilities of using genetic algorithms to find
approximations of function extrema, which cannot be found using analytic ways.
To enhance effectiveness of calculations, algorithm has been parallelized using
OpenMP library. We gained much increase in speed on platforms using
multithreaded processors with shared memory free access. During analysis we
used different modifications of genetic operator, using them we obtained varied
evolution process of potential solutions. Results allow to choose best methods
among many applied in genetic algorithms and observation of acceleration on
Yorkfield, Bloomfield, Westmere-EX and most recent Sandy Bridge cores.
