In this talk, some variants of reduction-type method combined with a line search filter method to solve nonlinear semi-infinite programming problems are presented. We use the stretched simulated annealing method and the branch and bound technique to compute the maximizers of the constraint. The filter method is used as an alternative to merit functions to promote convergence from poor starting points
Semi-infinite programming (SIP) problems can be efficiently solved by reduction type methods. Here,...
Semi-infinite programming (SIP) problems can be efficiently solved by reduction type methods. Here, ...
Abstract. Semi-infinite programming (SIP) problems can be efficiently solved by reduction type metho...
In this paper, a reduction-type method combined with a line search filter method to solve nonlinear ...
In this paper, a reduction-type method combined with a line search filter method to solve nonlinear ...
Semi-infinite programming problems can be efficiently solved by reduction type methods. Here, we pre...
Abstract: In this paper, a reduction-type method combined with a line search filter method to solve ...
Semi-infinite programming (SIP) problems can be efficiently solved by reduction-type methods. Here, ...
This paper presents a new reduction-type method for solving semi-infinite programming problems, wher...
We present a new reduction-type method for solving semi-infinite programming problems, where the mul...
We present a reduction type algorithm for solving nonlinear semi-infinite programming problems. The ...
Semi-infinite programming (SIP) problems are characterized by a finite number of variables and an in...
Here, we present some numerical experiments with a reduction method for solving nonlinear semi-infin...
Here, we present some numerical experiments with a reduction method for solving nonlinear semi-infin...
To solve nonlinear semi-infinite programming problems we use a global reduction method. The method r...
Semi-infinite programming (SIP) problems can be efficiently solved by reduction type methods. Here,...
Semi-infinite programming (SIP) problems can be efficiently solved by reduction type methods. Here, ...
Abstract. Semi-infinite programming (SIP) problems can be efficiently solved by reduction type metho...
In this paper, a reduction-type method combined with a line search filter method to solve nonlinear ...
In this paper, a reduction-type method combined with a line search filter method to solve nonlinear ...
Semi-infinite programming problems can be efficiently solved by reduction type methods. Here, we pre...
Abstract: In this paper, a reduction-type method combined with a line search filter method to solve ...
Semi-infinite programming (SIP) problems can be efficiently solved by reduction-type methods. Here, ...
This paper presents a new reduction-type method for solving semi-infinite programming problems, wher...
We present a new reduction-type method for solving semi-infinite programming problems, where the mul...
We present a reduction type algorithm for solving nonlinear semi-infinite programming problems. The ...
Semi-infinite programming (SIP) problems are characterized by a finite number of variables and an in...
Here, we present some numerical experiments with a reduction method for solving nonlinear semi-infin...
Here, we present some numerical experiments with a reduction method for solving nonlinear semi-infin...
To solve nonlinear semi-infinite programming problems we use a global reduction method. The method r...
Semi-infinite programming (SIP) problems can be efficiently solved by reduction type methods. Here,...
Semi-infinite programming (SIP) problems can be efficiently solved by reduction type methods. Here, ...
Abstract. Semi-infinite programming (SIP) problems can be efficiently solved by reduction type metho...