The different optimum criteria have been formulated, the new schemes for investigation of the search and global optimization algorithms have been proposed and studied, the new approach to the investigation of gradient algorithm has been proposed. The numerical comparison of a number of the algorithms according to the optimum criteria and also the numerical realization of the proposed schemes as the computer programs have been obtainedAvailable from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURussian Federatio
Optimization Methods and Software publishes refereed papers on the latest developments in the theory...
This thesis deals with analysis of genetic algorithms. It is focused on various approaches to creati...
The first part of this work deals with the optimization and evolutionary algorithms which are used a...
Abstract — Evolutionary gradient search is a hybrid algorithm that exploits the complementary featur...
The numerical methods of solving of the random optimization problems were investigated with the aim ...
It is difficult to evaluate a random search algorithms, because regardless of a chosen method of eff...
This paper deals with various approaches to solving optimization tasks. In prolog some examples from...
Optimization is a process that aims to find the best, most favorable, or most optimized solution for...
This paper introduces a modified version of the well known global optimization technique named line ...
There the class of parallel characteristic parallel algorithms for solution of problems of global op...
This paper examines the algorithm of differential evolution that has appeared rather recently. This ...
The method for evaluation of the optimality in the expert systems has been proposed. The method for ...
Global optimization problems are relevant in various fields of research and industry, such as chemis...
This work presents lines of investigation and scientific achievements of the Ukrainian school of opt...
The paper is concerned with multi-extremum optimization problems with one and many variables. The op...
Optimization Methods and Software publishes refereed papers on the latest developments in the theory...
This thesis deals with analysis of genetic algorithms. It is focused on various approaches to creati...
The first part of this work deals with the optimization and evolutionary algorithms which are used a...
Abstract — Evolutionary gradient search is a hybrid algorithm that exploits the complementary featur...
The numerical methods of solving of the random optimization problems were investigated with the aim ...
It is difficult to evaluate a random search algorithms, because regardless of a chosen method of eff...
This paper deals with various approaches to solving optimization tasks. In prolog some examples from...
Optimization is a process that aims to find the best, most favorable, or most optimized solution for...
This paper introduces a modified version of the well known global optimization technique named line ...
There the class of parallel characteristic parallel algorithms for solution of problems of global op...
This paper examines the algorithm of differential evolution that has appeared rather recently. This ...
The method for evaluation of the optimality in the expert systems has been proposed. The method for ...
Global optimization problems are relevant in various fields of research and industry, such as chemis...
This work presents lines of investigation and scientific achievements of the Ukrainian school of opt...
The paper is concerned with multi-extremum optimization problems with one and many variables. The op...
Optimization Methods and Software publishes refereed papers on the latest developments in the theory...
This thesis deals with analysis of genetic algorithms. It is focused on various approaches to creati...
The first part of this work deals with the optimization and evolutionary algorithms which are used a...