Many optimization problems in economics are of the multiobjective type and highdimensional. Pos-sibilities for solving large-scale optimization problems on a computer network or multiprocessor using a multi-level approach are studied. For the solution of involving decomposition-coordination prob-lems a few rapidly convergent methods are developed, their convergence properties and computational aspects are examined. Problems of their global implementation and polyalgorithmic approach are discussed
A general trust region strategy is proposed for solving nonlinear systems of equations and equality ...
The artlcle discusses problems connected with optimization of multi-objective systems. The author ...
Distributed optimization is a very important concept with applications in control theory and many re...
A lot of real-life problems lead frequently to the solution of a complicated (large scale, multicrit...
Many real‐life optimization problems are of the multiobjective type and highdimensional. Possibiliti...
Abstract: Convergence study is given, defining the prerequisites for the implementation of the non-...
AbstractA multi-level solution method is presented for multi-objective optimization of large-scale s...
In this book, theory of large scale optimization is introduced with case studies of real-world probl...
In this paper we focus on the parallel computation of large - scale equilibrium and optimization pro...
Multidisciplinary design optimization (MDO) gives rise to nonlinear optimization problems characteri...
This paper presents some multidimensional optimization algorithms. By using the “penalty function ” ...
In this paper we focus on the parallel computation of large- scale equilibrium and op-timization pro...
Most industrial optimization problems are sparse and can be formulated as block-separable mixed-inte...
The paper is concerned with multi-extremum optimization problems with one and many variables. The op...
The theory of constructing decomposition methods for solution of the large dimensionality optimizati...
A general trust region strategy is proposed for solving nonlinear systems of equations and equality ...
The artlcle discusses problems connected with optimization of multi-objective systems. The author ...
Distributed optimization is a very important concept with applications in control theory and many re...
A lot of real-life problems lead frequently to the solution of a complicated (large scale, multicrit...
Many real‐life optimization problems are of the multiobjective type and highdimensional. Possibiliti...
Abstract: Convergence study is given, defining the prerequisites for the implementation of the non-...
AbstractA multi-level solution method is presented for multi-objective optimization of large-scale s...
In this book, theory of large scale optimization is introduced with case studies of real-world probl...
In this paper we focus on the parallel computation of large - scale equilibrium and optimization pro...
Multidisciplinary design optimization (MDO) gives rise to nonlinear optimization problems characteri...
This paper presents some multidimensional optimization algorithms. By using the “penalty function ” ...
In this paper we focus on the parallel computation of large- scale equilibrium and op-timization pro...
Most industrial optimization problems are sparse and can be formulated as block-separable mixed-inte...
The paper is concerned with multi-extremum optimization problems with one and many variables. The op...
The theory of constructing decomposition methods for solution of the large dimensionality optimizati...
A general trust region strategy is proposed for solving nonlinear systems of equations and equality ...
The artlcle discusses problems connected with optimization of multi-objective systems. The author ...
Distributed optimization is a very important concept with applications in control theory and many re...