МРНТИ 28.23.25                                                                                           №2 (2019г.)

Samigulina G.A., Aldibekova   A.N.   

Abstract. The article provides an analytical review of the problem of using the bioinspired approach of artificial immune systems in various fields of science and technology, as well as the developed applications in recent years (2014-2018). The relevance of the application of artificial intelligence approaches (genetic algorithms, neural networks, swarm intelligence algorithms and their modifications) for create effective innovative information technologies is shown. Modern algorithms of artificial immune systems are divided into several main areas: clonal selection, negative selection and immune-network algorithms. The relevance and importance of the use of clonal selection algorithms for various optimization, recognition and prediction problems has been proved. Modified algorithms of artificial immune systems based on clonal selection algorithms are presented, and their features and advantages are considered.
Keywords: analytical review, artificial immune systems, clonal selection, modified algorithms, optimization problems, forecasting.