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The non-dominated sorting genetic algorithm (NSGA) is applied in solving the optimization problems.
The operator splitting approach is adopted in constructing the method in which the conservation and dispersion parts of the equation are alternatively solved; our numerical device is applied in solving the conservation part of the equation.
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The Laplace transform and Fourier sine and cosine transforms were applied in solving the governing equations.
Descriptions are considered as resources that can be applied in solving problems that are linguistic in nature.
In recent years, inductive machine learning algorithms have widely been applied in solving a variety of engineering problems.
The model (1.1) has been applied in solving many practical problems and kinds of estimation methods have been used to obtain estimators of (g(cdot)).
Genetic algorithms with a dynamic penalty function are applied in solving this optimization problem, and reasonable and interesting results are obtained and discussed.
Fixed point iterative schemes are designed to be applied in solving equations arising in physical formulation but there is no systematic study of the numerical aspects of these iterative schemes.
Genetic algorithms (GAs) have been applied in solving MRAOPs, since they are computationally efficient in solving such problems, unlike exact methods, but their applications has been confined to single-objective formulation of MRAOPs.
Most curricula in primary schools include a number of concepts that cover science and math, but less effort is applied in teaching problem solving, computer science, technology and robotics.
Also, it should be mentioned that the modified generalized Laguerre operational matrix of fractional integration is applied in order to solve linear multi-order FDEs which are important in mathematical physics (see [12 17]).
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