Results 271 to 280 of about 1,432,311 (298)

Pareto Front Estimation Using Unit Hyperplane

2021
This work proposes a method to estimate the Pareto front even in areas without objective vectors in the objective space. For the Pareto front approximation, we use a set of non-dominated points, objective vectors, in the objective space. To finely approximate the Pareto front, we need to increase the number of objective vectors. It is worth to estimate
Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato 0003   +2 more
openaire   +1 more source

A new approach to approximate the bounded Pareto front

Mathematical Methods of Operations Research, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Majid Soleimani-Damaneh
exaly   +4 more sources

Uncertainty Quantification of Pareto Fronts

2020
Uncertainty quantification of Pareto fronts introduces new challenges connected to probabilities in infinite dimensional spaces. Indeed, Pareto fronts are, in general, manifolds belonging to infinite dimensional spaces: for instance, a curve in bi-objective optimization or a surface in three objective optimization. This article examines the methods for
Mohamed Bassi, Emmanuel Pagnacco, Roberta Lima, Eduardo Souza de Cursi   +3 more
openaire   +1 more source

Visualization of a statistical approximation of the Pareto front

Applied Mathematics and Computation, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Niche Distributions on the Pareto Optimal Front

2003
This paper examines the use of fitness sharing in evolutionary multi-objective optimization (EMO) algorithms to form a uniform distribution of niches along the non-dominated frontier. A long-standing, implicit assumption is that fitness sharing within an equivalence class, such as the Pareto optimal set, can form dynamically stable (under selection ...
openaire   +1 more source

Hybrid approach for Pareto front expansion in heuristics

Journal of the Operational Research Society, 2011
Heuristic search can be an effective multi-objective optimization tool; however, the required frequent function evaluations can exhaust computational sources. This paper explores using a hybrid approach with statistical interpolation methods to expand optimal solutions obtained by multiple criteria heuristic search.
Haluk Yapicioglu, H. Liu, Alice E. Smith, Gerry V. Dozier   +3 more
openaire   +2 more sources

A taxonomy of methods for visualizing pareto front approximations

Proceedings of the Genetic and Evolutionary Computation Conference, 2018
In multiobjective optimization, many techniques are used to visualize the results, ranging from traditional general-purpose data visualization techniques to approaches tailored to the specificities of multiobjective optimization. The number of specialized approaches rapidly grows in the recent years.
Bogdan Filipic, Tea Tusar
openaire   +1 more source

Pareto-Front Computation and Automatic Sizing of CPPLLs

8th International Symposium on Quality Electronic Design (ISQED'07), 2007
A comprehensive performance space exploration on system level offers designers a fast way to get insight into the capability of the whole system for a given technology. The authors consider a charge-pump phase-locked loop (CPPLL) system. In this paper performance space exploration is applied not only to the building blocks but to the whole CPPLL system
Jun Zou, Daniel Mueller 0001, Helmut E. Graeb, Ulf Schlichtmann   +3 more
openaire   +2 more sources

Pareto-Front Exploration with Uncertain Objectives

2001
We consider the problem of exploration of the set of all global optima (Pareto-points) or an approximation thereof in the context of multi-objective function optimization. Up to now, set oriented techniques assume that the evaluation of the m-dimensional vector of objectives can be done exactly which is important to steer the search process towards ...
openaire   +1 more source

Moving Along the Pareto Front

2009
A method to sort out the optimal solutions located along the Pareto front is proposed as a possible criterion of innovative design. The idea, in fact, is to investigate non-dominated solutions in a comparative way in view of a twofold scope: to help decision making, on one hand, and to identify previously unpredicted, innovative solutions, on the other
openaire   +1 more source