UFAZ Math teacher is going to participate at the Gecco World Conference 2020


We are proud to announce that UFAZ Math teacher Ulviya Abdulkarimova, with her article “A genetic algorithm (GA) for non-uniform sampling harmonic analysis”, received an opportunity to participate at the Gecco World Conference 2020.

The Genetic and Evolutionary Computation Conference (GECCO) presents the latest high-quality results in genetic and evolutionary computation since 1999. Topics include: genetic algorithms, genetic programming, ant colony optimization and swarm intelligence, complex systems (artificial life/robotics/evolvable hardware/generative and developmental systems/artificial immune systems), digital entertainment technologies and arts, evolutionary combinatorial optimization and metaheuristics, evolutionary machine learning, evolutionary multi-objective optimization, evolutionary numerical optimization, real world applications, search-based software engineering, theory and more.

The paper describes a real valued genetic algorithm (GA) to model a large noisy periodic signal. The proposed method does not rely on a mathematical approach, but on artificial evolution to directly find the sines that compose a signal. The GA outperforms the Fourier Transform (FT) method, which is the standard method used in harmonic analysis of a discrete signal.

UFAZ Team congratulates Mrs. Abdulkarimova on her achievements and wish for many more successes to come!