Abstract
To find approximate optimization solutions, many algorithms are used, seven of which are considered in this work: fuzzy sets, artificial neural networks, genetic algorithm, ant algorithm, particle swarm algorithm, DNA computation, and a new approach based on artificial immune systems (IIS). All these methods belong to the direction of "natural computing", ie. model certain biological processes, the algorithms of which nature has created for millions of years. It should be noted that the efficiency of one or another algorithm depends on the characteristics of the initial data of the problem, so it is impossible to unambiguously determine which of the algorithms is the most effective
First Page
128
Last Page
133
References
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Recommended Citation
Muhamediyeva, D.T.
(2020)
"APPROACHES TO SOLVING PROBLEMS OF OPTIMIZATION OF SOLVING MONITORING PROBLEMS BASED ON NATURAL COMPUTING ALGORITHMS,"
Chemical Technology, Control and Management: Vol. 2020:
Iss.
5, Article 23.
DOI: https://doi.org/10.34920/2020.5-6.128-133
