Abstract
In this article application of genetic algorithm for optimization of a control system by gas-turbine units as a part of the software modeling suite KMES is shined. Genetic algorithm - the latest, but not the unique way of the solution of optimization problems. For a long time two main solutions of such tasks - direct-search and local-gradient are known. At these methods the merits and demerits and in each case it is necessary to think what to choose from them. The typical practical task, as a rule, multimodal and multi-dimension, that is contains many parameters. For such tasks there is no universal method which would allow to find absolutely exact solution quickly enough. However, combining direct-searc and gradient methods, it is possible to hope to receive at least the approximate decision which accuracy will increase at increase in time of calculation. Keywords: control system, genetic algorithm, chromosome, gen, population, crossover, mutation, fitness function, selection.
