Authors
Anikina O.
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Degree
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PhD in Technique sciences, Togliatti State University |
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E-mail
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blue-waterfall@yandex.ru |
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Location
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Togliatti |
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Articles
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Using technology table simulation genetic algorithms for solving optimization problemsThe article shows the feasibility of genetic and evolutionary algorithms, based on the technique of creating
iterative models tabular means Microsoft Excel on a «programming without programming,» without
the use of software code in VBA language. Genetic algorithms in conjunction with evolutionary strategies
are two main directions of evolutionary modeling. With their help can be found solving many complex
problems in various areas, such as software development, systems of artificial intelligence, optimization,
artificial neural networks, and other branches of knowledge. Presented in the article table model
genetic algorithm proves that the tabular method, you can create simulation models of algorithms that
were previously implemented only with the use of specialized simulation systems, or by programming.
It should be noted that the above table model can be easily modified and extended (the size of chromosomes
and the number of individuals in the population), and the proposed technique table simulation genetic
algorithms can be successfully used for other, more complex optimization problems. Developed
with the help of the proposed simulation models allow technology to virtualize laboratory training course
in many disciplines — scientific and economic profiles, increase the efficiency of educational process in
high schools, as characterized by exceptional clarity, ease of analysis, the implementation of experiments,
a visual representation of the results. The results are of interest to specialists in the optimization of systems
and processes, as well as for teachers, advanced students and students of higher educational institutions.
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Table modeling of the dynamics of the operation of a single-channel queuing system with a limited queueThe implementation of a table-modeling queuing system is based on the algorithm of the simulated
system functions without writing the programs code. This was developed by algorithmic models in
Microsoft Excel based on the principle of «programming without programming». The simulation algorithm
consists of the queuing system changing steps with discreteness in time, and the new state —
which the system moves to the next step — is determined by its state in the previous step. Thus, step
by step, the state of the queuing system is simulated, which in turn simulates the process functions of
the queuing system. When constructing a queuing system table model, only the minimum information
necessary is used for solving the problem, which transforms into intermediate results. This is necessary
and sufficient to obtain the result. In this paper, we prove the possibility of using spreadsheets
as a convenient and effective simulation environment for a class of systems that represent a random
process, with discrete states and continuous time. The use of the presented table models in the educational
process increase in effectiveness, as it allows demonstrating visual results of the functioning
of dynamic systems and processes. It provides ample opportunities for conducting model experiments
and visual representation of simulation results. The developed table models of computational
algorithms can be used in a practical computerized practical set of disciplines, in which questions of
queuing theory are touched upon.
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