An approach to constructing a Pareto front approximation to computationally expensive multiobjective optimization problems is developed. The approximation is constructed as a sub-complex of a Delaunay triangulation of a finite set of Pareto optimal outcomes to the problem. The approach is based on the concept of inherent nondominance. Rules for checking the inherent nondominance of complexes are developed and applying the rules is demonstrated with examples. The quality of the approximation is quantified with error estimates. Due to its properties, the Pareto front approximation works as a surrogate to the original problem for decision making with interactive methods.peerReviewe
We introduce a novel approximation method for multiobjective optimization problems called PAINT–SiC...
Abstract. In multidisciplinary optimization a designer solves a problem where there are different cr...
This paper is devoted to a Pareto frontier generation technique, which is aimed at subsequent visual...
An approach to constructing a Pareto front approximation to computationally expensive multiobjective...
An approach to constructing a Pareto front approximation to computationally expensive multiobjective...
An approach to constructing a Pareto front approximation to computationally expensive multiobjective...
t Approximating the Pareto fronts of nonlinear multiobjective optimization problems is considered an...
In many multiobjective optimization problems, the Pareto Fronts and Sets contain a large number of s...
In many multiobjective optimization problems, the Pareto Fronts and Sets contain a large number of s...
In many multiobjective optimization problems, the Pareto Fronts and Sets contain a large number of s...
In many multiobjective optimization problems, the Pareto Fronts and Sets contain a large number of s...
A systematic approach is presented to approximate the Pareto optimal front (POF) by a response surfa...
different approximation methods are utilized in the field of optimization. Here we consider two type...
Abstract: This paper introduces a new technique for assessing the diversity of approximation of exa...
Abstract We introduce a novel approximation method for multiobjective opti-mization problems called ...
We introduce a novel approximation method for multiobjective optimization problems called PAINT–SiC...
Abstract. In multidisciplinary optimization a designer solves a problem where there are different cr...
This paper is devoted to a Pareto frontier generation technique, which is aimed at subsequent visual...
An approach to constructing a Pareto front approximation to computationally expensive multiobjective...
An approach to constructing a Pareto front approximation to computationally expensive multiobjective...
An approach to constructing a Pareto front approximation to computationally expensive multiobjective...
t Approximating the Pareto fronts of nonlinear multiobjective optimization problems is considered an...
In many multiobjective optimization problems, the Pareto Fronts and Sets contain a large number of s...
In many multiobjective optimization problems, the Pareto Fronts and Sets contain a large number of s...
In many multiobjective optimization problems, the Pareto Fronts and Sets contain a large number of s...
In many multiobjective optimization problems, the Pareto Fronts and Sets contain a large number of s...
A systematic approach is presented to approximate the Pareto optimal front (POF) by a response surfa...
different approximation methods are utilized in the field of optimization. Here we consider two type...
Abstract: This paper introduces a new technique for assessing the diversity of approximation of exa...
Abstract We introduce a novel approximation method for multiobjective opti-mization problems called ...
We introduce a novel approximation method for multiobjective optimization problems called PAINT–SiC...
Abstract. In multidisciplinary optimization a designer solves a problem where there are different cr...
This paper is devoted to a Pareto frontier generation technique, which is aimed at subsequent visual...