283 citations · 297 across the 9 of their papers we have counts for
9 papers
Transforming the Challenge of Constructing Low-Discrepancy Point Sets into a Permutation Selection Problem
François Clément, Carola Doerr, Kathrin Klamroth +1
Low discrepancy point sets have been widely used as a tool to approximate continuous objects by discrete ones in numerical processes, for example in numerical integration. Followin…
Ensuring connectedness for the Maximum Quasi-clique and Densest -subgraph problems
Daniela Scherer dos Santos, Kathrin Klamroth, Pedro Martins +1
Given an undirected graph , a quasi-clique is a subgraph of whose density is at least . Two optimization problems can be defined for quasi-cliques: the Ma…
Solving the Multiobjective Quasi-Clique Problem
Daniela Scherer dos Santos, Kathrin Klamroth, Pedro Martins +1
Given a simple undirected graph , a quasi-clique is a subgraph of whose density is at least . Finding a maximum quasi-clique has been addressed from two d…
Constructing Optimal Star Discrepancy Sets
François Clément, Carola Doerr, Kathrin Klamroth +1
The star discrepancy is a very well-studied measure used to quantify the uniformity of a point set distribution. Constructing optimal point sets for this measure is se…
Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms
François Clément, Diederick Vermetten, Jacob de Nobel +3
The star discrepancy is a measure for the regularity of a finite set of points taken from . Low discrepancy point sets are highly relevant for Quasi-Monte Car…
Heuristic Approaches to Obtain Low-Discrepancy Point Sets via Subset Selection
François Clément, Carola Doerr, Luís Paquete
Building upon the exact methods presented in our earlier work [J. Complexity, 2022], we introduce a heuristic approach for the star discrepancy subset selection problem. The heuris…
Reproducibility in Evolutionary Computation
Manuel López-Ibáñez, Juergen Branke, Luís Paquete
Experimental studies are prevalent in Evolutionary Computation (EC), and concerns about the reproducibility and replicability of such studies have increased in recent times, reflec…
Star Discrepancy Subset Selection: Problem Formulation and Efficient Approaches for Low Dimensions
François Clèment, Carola Doerr, Luís Paquete
Motivated by applications in instance selection, we introduce the star discrepancy subset selection problem, which consists of finding a subset of m out of n points that minimizes…
The Hypervolume Indicator: Problems and Algorithms
Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete
The hypervolume indicator is one of the most used set-quality indicators for the assessment of stochastic multiobjective optimizers, as well as for selection in evolutionary multio…