Open AccessSolving multiobjective functions of dynamics optimization based on constraint and unconstraint non-linear programming
Author(s) -
Rabab Abdulsattar Aljawad,
Ahmed Sabah Al-Jilawi
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns1.6041
Subject(s) - mathematical optimization , computer science , python (programming language) , nonlinear system , differential algebraic equation , nonlinear programming , differential equation , dynamical systems theory , optimization problem , constraint (computer aided design) , mathematics , ordinary differential equation , programming language , mathematical analysis , physics , quantum mechanics , geometry
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.