Abstract: Convergence study is given, defining the prerequisites for the implementation of the non-iterative coordination approach in multilevel systems for solving nonlinear optimization problems. Using the analytical relations, derived by non-iterative hierarchical approach, the solution of the nonlinear optimization problem is evaluated by recursive calculations, changing the appropriate initial point. The conditions under which these recursive calculations converge towards the solution of the optimization problem are derived. The convergence is proven by application of the second method of Lyapunov for deriving stability of dynamical systems. Key words: multilevel hierarchical optimisation, bi-level hierarchical systems, convergence o...
An iterative method to compute the minimum point in an unconstrained optimization problem can be vi...
∗ Signatures are on file in the Graduate School. In this thesis, we propose new multilevel and adapt...
Two techniques for formulating the coupling between levels in multilevel optimization by linear deco...
Abstract: Hierarchical approach is applied for solving linear-quadratic optimization problems. Non-...
A lot of real-life problems lead frequently to the solution of a complicated (large scale, multicrit...
Many optimization problems in economics are of the multiobjective type and highdimensional. Pos-sibi...
AbstractNew optimization method, using Non-iterative coordination in multilevel systems is developed...
This dissertation is aimed at a class of convex dynamic optimization problems in which the transitio...
Nous étudions la convergence de systèmes dynamiques vers des équilibres. En particulier, nous nous i...
We are concerned with defining new globalization criteria for solution methods of nonlinear equation...
Abstract – It is presented a hierarchical optimization model for solving optimization problem, which...
Abstract: Hierarchical approach is applied for solving portfolio optimisation problem. It is solved...
A general trust region strategy is proposed for solving nonlinear systems of equations and equality ...
The convergence investigation and the substantiation and construction of new algorithms on the base ...
Multidisciplinary design optimization (MDO) gives rise to nonlinear optimization problems characteri...
An iterative method to compute the minimum point in an unconstrained optimization problem can be vi...
∗ Signatures are on file in the Graduate School. In this thesis, we propose new multilevel and adapt...
Two techniques for formulating the coupling between levels in multilevel optimization by linear deco...
Abstract: Hierarchical approach is applied for solving linear-quadratic optimization problems. Non-...
A lot of real-life problems lead frequently to the solution of a complicated (large scale, multicrit...
Many optimization problems in economics are of the multiobjective type and highdimensional. Pos-sibi...
AbstractNew optimization method, using Non-iterative coordination in multilevel systems is developed...
This dissertation is aimed at a class of convex dynamic optimization problems in which the transitio...
Nous étudions la convergence de systèmes dynamiques vers des équilibres. En particulier, nous nous i...
We are concerned with defining new globalization criteria for solution methods of nonlinear equation...
Abstract – It is presented a hierarchical optimization model for solving optimization problem, which...
Abstract: Hierarchical approach is applied for solving portfolio optimisation problem. It is solved...
A general trust region strategy is proposed for solving nonlinear systems of equations and equality ...
The convergence investigation and the substantiation and construction of new algorithms on the base ...
Multidisciplinary design optimization (MDO) gives rise to nonlinear optimization problems characteri...
An iterative method to compute the minimum point in an unconstrained optimization problem can be vi...
∗ Signatures are on file in the Graduate School. In this thesis, we propose new multilevel and adapt...
Two techniques for formulating the coupling between levels in multilevel optimization by linear deco...