Solving multiobjective functions of dynamics optimization based on constraint and unconstraint non-linear programming

Abstract

To better understand the connection between nonlinear optimization problems and differential equations, this study uses the mathematical models with one or more objective functions that are constrained by restrictions and therefore take the form of differential equations called dynamical optimization systems, which mean a decision-making method that uses differential and algebraic equation mathematical models to design-wise policies based on forecasts of future events. This paper focuses on solving mathematical models systems using the Python programming language.