WOS: 000269239900010The paper deals with a method for global minimization of increasing positively homogeneous functions over the unit simplex, which is a version of the cutting angle method. A new approach for solving the auxiliary problem in the cutting angle method is proposed. In the method, the auxiliary problem is reformulated as a certain combinatorial problem. The modified version of the cutting angle method is also applied for Lipschitz functions that could be expressed as increasing positively homogeneous functions. We report results of numerical experiments which demonstrate that the proposed algorithm is very efficient in the search for a global minimum
In this paper, we propose a new algorithm for global minimization of functions represented as a diff...
This paper introduces an innovative extension of the DIRECT algorithm specifically designed to solve...
In this article we develop a global optimization algorithm for quasiconvex programming where the obj...
WOS: 000269239900010The paper deals with a method for global minimization of increasing positively h...
The paper deals with a method for global minimization of increasing positively homogeneous functions...
The solution of the Subproblem of the Cutting Angle Method of Global Optimization for problems of mi...
Cutting angle method (CAM) is a deterministic global optimization technique applicable to Lipschitz ...
The paper deals with combinations of the cutting angle method in global optimization and a local sea...
Methods of Lipschitz optimization allow one to find and confirm the global minimum of multivariate L...
The Solution of the Subproblem of the Cutting Angle Method of Global Optimization for problems of mi...
Lower approximation of Lipschitz functions plays an important role in deterministic global optimizat...
We discuss the applicability of the cutting angle method to global minimization of marginal function...
"The main objective of this thesis is to develop and study new techniques for solving global optimiz...
AbstractA new method is proposed for solving box constrained global optimization problems. The basic...
The global optimization problem min f(x), x in S with S=[a,b], a, b in Rn and f(x) satisfying the L...
In this paper, we propose a new algorithm for global minimization of functions represented as a diff...
This paper introduces an innovative extension of the DIRECT algorithm specifically designed to solve...
In this article we develop a global optimization algorithm for quasiconvex programming where the obj...
WOS: 000269239900010The paper deals with a method for global minimization of increasing positively h...
The paper deals with a method for global minimization of increasing positively homogeneous functions...
The solution of the Subproblem of the Cutting Angle Method of Global Optimization for problems of mi...
Cutting angle method (CAM) is a deterministic global optimization technique applicable to Lipschitz ...
The paper deals with combinations of the cutting angle method in global optimization and a local sea...
Methods of Lipschitz optimization allow one to find and confirm the global minimum of multivariate L...
The Solution of the Subproblem of the Cutting Angle Method of Global Optimization for problems of mi...
Lower approximation of Lipschitz functions plays an important role in deterministic global optimizat...
We discuss the applicability of the cutting angle method to global minimization of marginal function...
"The main objective of this thesis is to develop and study new techniques for solving global optimiz...
AbstractA new method is proposed for solving box constrained global optimization problems. The basic...
The global optimization problem min f(x), x in S with S=[a,b], a, b in Rn and f(x) satisfying the L...
In this paper, we propose a new algorithm for global minimization of functions represented as a diff...
This paper introduces an innovative extension of the DIRECT algorithm specifically designed to solve...
In this article we develop a global optimization algorithm for quasiconvex programming where the obj...