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Scientific-technical journal

Abstract

The article discusses modern methods for solving optimization problems: fuzzy sets, artificial neural networks, genetic algorithm, ant algorithm, particle swarm algorithm, DNA-computing, and a new approach based on artificial immune system. All of these methods relate to the direction of "natural computing," i.e. simulate those or other biological processes, algorithms which nature has created millions of years. The analysis showed that the algorithm based on ant algorithm and artificial immune systems, in relation to the classic routing problem showed good results as these algorithms much more quickly adapt to changes in external conditions.

First Page

58

Last Page

67

References

[1]. Bochkov Ye.D. Prilojenie teorii nechetkix (Fuzzy) mnojestv v matematicheskix modelyax sistem svyazi. Issledovaniya i materiali: Prilojenie k jurnalu «Omskiy nauchniy vestnik» / Bichkov Ye.D., Salaxutdinov R.Z., Lendikrey V.V. – Omsk: OGMA, 2000. – 188 s. [2]. Hopfield J.J., Tank D.W. “Neural” computation of decisions in optimization problems // Biological Cybernetics, 1985, vol. 52, no. 3, pp. 141-152. [3]. Holland J. H. Adaptation in natural and artificial systems. An introductory analysis with application to biology, control, and artificial intelligence.— London: Bradford book edition, 1994 —211 p. [4]. D.T.Muxamedieva. Sust shakllangan jarayonlarni noravshan modellarini qurishning nokorrekt masalalarini yechish usul va algoritmlari. ”Navruz” nashriyoti. Toshkent:, 2018 y. 216 bet. [5]. Muxamediyeva D.T. Model of estimation of success of geological exploration perspective // International Journal of Mechanical and production engineering research and development (IJMPERD) ISSN(P): 2249-6890; ISSN(E): 2249-8001 Vol. 8, Issue 2, USA. 2018, 527-538 pp. Impact Factor (JCC): 6.8765. [6]. Muxamediyeva D.T. Structure of fuzzy control module with neural network //International Journal of Mechanical and Production Engineering Research and Development (IJMPERD) ISSN (P): 2249-6890; ISSN (E): 2249-8001 Vol. 9, Issue 2, Apr 2019, pp.649-658.

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