Genetic Algorithms: State of the Art, Problems, and perspectives

摘要

The main principles of the state, problem and perspectives of the new discipline "genetic algorithm" are considered. In recent years this direction has developed dramatically. The main problems and algorithms related to the design and realization of genetic algorithms are presented. The foundations of genetic algorithms and evolutionary modeling are described. The architecture of the genetic search and models of genetic operators are analyzed. Examples of solving problems on the basis of genetic algorithms are given.