Merlin Viernickel

dblp:245/3445 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization › integer programming
branch-and-bound
0.412019
Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation · AAAI 2019
Mathematical optimization › discrete optimization
mixed integer linear programming
0.412019
Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation · AAAI 2019
Mathematical optimization
restart strategies
0.412019
Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation · AAAI 2019

Methods — techniques the papers use, named apart from their topics

online tree-size estimation · 0.4clairvoyant restart · 0.4
YearPublicationVenuePosition
2019 Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation
abstract
We propose a simple and general online method to measure the search progress within the Branch-and-Bound algorithm, from which we estimate the size of the remaining search tree. We then show how this information can help solvers algorithmically at runtime by designing a restart strategy for MixedInteger Programming (MIP) solvers that decides whether to restart the search based on the current estimate of the number of remaining nodes in the tree. We refer to this type of algorithm as clairvoyant. Our clairvoyant restart strategy outperforms a state-of-the-art solver on a large set of publicly available MIP benchmark instances. It is implemented in the MIP solver SCIP and will be available in future releases.
Daniel Anderson, Gregor Hendel, Pierre Le Bodic, Merlin Viernickel
AAAI4