Generally, older children are better able to plan their own behaviour, formulate problems, monitor their ability, control distraction and anxiety, and evaluate the quality of their cognitive products.
To resolve the formulated problems, MOGAs are used.
The framework used to formulate problems in a dialectical approach is contradiction.
Necessary and sufficient conditions for the solvability of the formulated problems are developed.
The formulated problems are large-scale nonconvex optimization problems, for which efficient and optimal solutions are currently not available.
PDEs are used to formulate problems involving functions of multiple variables.
We analyzed the characteristics of their formulated problems and examined if there was any correlation with diagnostic accuracy.
We prove that the formulated problem has the Volterra property.
An ant algorithm is developed to solve the formulated problem.
Moreover, the uniqueness of solution and the Volterra property of the formulated problem was proved.
