International audienceThis document describes our heuristic Cluster Editing solver, µSolver, which got the third place in the 2021 PACE Challenge. We present the local search and kernelization techniques for Cluster Editing that are implemented in the solver
\u3cbr/\u3eIn this article, the steering committee of the Parameterized Algorithms and Computational...
A self-contained vertex cover solver, developed for the PACE 2019 challenge, track A
One of the design principles of the state-of-the-art SAT solver Lingeling is to use as compact data ...
International audienceThis document describes our heuristic Cluster Editing solver, µSolver, which g...
This document describes our heuristic Cluster Editing solver, ?Solver, which got the third place in ...
The description of the cluster editing solver 'ADE-solver' submitted to the PACE 2021 competition
We present a simple heuristic for the Cluster Editing Problem as presented in the Parameterized Algo...
This article briefly describes the most important algorithms and techniques used in the cluster edit...
The cluster editing problem is to transform an input graph into a cluster graph by performing a mini...
International audienceLe challenge PACE (https://pacechallenge.org/about/) est un challenge annuel o...
International audience2012 ACM Subject Classification Theory of computation → Parameterized complexi...
The C++ version of our solution for the PACE 2021 contest (Cluster Editing) for the exact and heuris...
PACE Challenge 2021 Solver Description, from the Random Sampling group of the UNSW GraphAbility VIP ...
The Parameterized Algorithms and Computational Experiments challenge (PACE) 2021 was devoted to engi...
Instances for the PACE Challenge 2019 on the following tracks: 2a. Hypertree Width Exact and 2b. ...
\u3cbr/\u3eIn this article, the steering committee of the Parameterized Algorithms and Computational...
A self-contained vertex cover solver, developed for the PACE 2019 challenge, track A
One of the design principles of the state-of-the-art SAT solver Lingeling is to use as compact data ...
International audienceThis document describes our heuristic Cluster Editing solver, µSolver, which g...
This document describes our heuristic Cluster Editing solver, ?Solver, which got the third place in ...
The description of the cluster editing solver 'ADE-solver' submitted to the PACE 2021 competition
We present a simple heuristic for the Cluster Editing Problem as presented in the Parameterized Algo...
This article briefly describes the most important algorithms and techniques used in the cluster edit...
The cluster editing problem is to transform an input graph into a cluster graph by performing a mini...
International audienceLe challenge PACE (https://pacechallenge.org/about/) est un challenge annuel o...
International audience2012 ACM Subject Classification Theory of computation → Parameterized complexi...
The C++ version of our solution for the PACE 2021 contest (Cluster Editing) for the exact and heuris...
PACE Challenge 2021 Solver Description, from the Random Sampling group of the UNSW GraphAbility VIP ...
The Parameterized Algorithms and Computational Experiments challenge (PACE) 2021 was devoted to engi...
Instances for the PACE Challenge 2019 on the following tracks: 2a. Hypertree Width Exact and 2b. ...
\u3cbr/\u3eIn this article, the steering committee of the Parameterized Algorithms and Computational...
A self-contained vertex cover solver, developed for the PACE 2019 challenge, track A
One of the design principles of the state-of-the-art SAT solver Lingeling is to use as compact data ...
DOI
Add to ORKG