Global optimization is important both in theory and practical applications. The objectives of this thesis are two-fold. The first one is to construct methods which aim to reduce the effort to solve global optimization problems. The second objective is to investigate suitable parallel models to speed up the computation.DOCTOR OF PHILOSOPHY (MAE
Current research results in stochastic and deterministic global optimization including single and mu...
The new computational technologies are having a very strong influence on numerical optimization, in ...
This thesis presents new algorithms for the deterministic global optimization of general non-linear ...
Global optimization is important both in theory and practical applications. The objectives of this t...
Global optimization problems arise in a wide range of real-world problems. They include applications...
Global optimization problems arise in a wide range of real-world problems. They include applications...
Global optimization problems arise in a wide range of real-world problems. They include applications...
Global optimization problems arise in a wide range of real-world problems. They include applications...
Global optimization problems arise in a wide range of real-world problems. They include applications...
There the class of parallel characteristic parallel algorithms for solution of problems of global op...
The problem of finding a global minimum of a real function on a set S Rn occurs in many real world p...
The problem of finding a global minimum of a real function on a set S of Rn occurs in many real worl...
This paper addresses computationally intensive global optimization problems, for solving of which th...
Abstract. Global optimization involves the difficult task of the identification of global extremitie...
Parallel continuous optimization methods are motivated here by applications in science and engineeri...
Current research results in stochastic and deterministic global optimization including single and mu...
The new computational technologies are having a very strong influence on numerical optimization, in ...
This thesis presents new algorithms for the deterministic global optimization of general non-linear ...
Global optimization is important both in theory and practical applications. The objectives of this t...
Global optimization problems arise in a wide range of real-world problems. They include applications...
Global optimization problems arise in a wide range of real-world problems. They include applications...
Global optimization problems arise in a wide range of real-world problems. They include applications...
Global optimization problems arise in a wide range of real-world problems. They include applications...
Global optimization problems arise in a wide range of real-world problems. They include applications...
There the class of parallel characteristic parallel algorithms for solution of problems of global op...
The problem of finding a global minimum of a real function on a set S Rn occurs in many real world p...
The problem of finding a global minimum of a real function on a set S of Rn occurs in many real worl...
This paper addresses computationally intensive global optimization problems, for solving of which th...
Abstract. Global optimization involves the difficult task of the identification of global extremitie...
Parallel continuous optimization methods are motivated here by applications in science and engineeri...
Current research results in stochastic and deterministic global optimization including single and mu...
The new computational technologies are having a very strong influence on numerical optimization, in ...
This thesis presents new algorithms for the deterministic global optimization of general non-linear ...
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