Applications of genetic algorithms

Abstract

In this paper were presented the main directions of genetic algorithms. There is a large class of interesting problems that have not yet been developed fast algorithms. Many of these problems are problems which occur frequently optimized in applications. Genetic algorithms are part of Heuristic algorithms, applying them successfully if problems do not admit polynomial-time algorithms. Genetic algorithms, as the name suggests, are inspired from nature, specifically of the way through genetic recombination improves a species.