most citedTheory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2022

A portfolio-based analysis method for competition results

Nguyen Dang

Competitions such as the MiniZinc Challenges or the SAT competitions have been very useful sources for comparing performance of different solving approaches and for advancing the s…

cs.NE20221 cited

Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration

André Biedenkapp, Nguyen Dang, Martin S. Krejca +2

It has long been observed that the performance of evolutionary algorithms and other randomized search heuristics can benefit from a non-static choice of the parameters that steer t…

cs.AI2020

Efficient Incremental Modelling and Solving

Gökberk Koçak, Özgür Akgün, Nguyen Dang +1

In various scenarios, a single phase of modelling and solving is either not sufficient or not feasible to solve the problem at hand. A standard approach to solving AI planning prob…

cs.AI2020

Exploring Instance Generation for Automated Planning

Özgür Akgün, Nguyen Dang, Joan Espasa +3

Many of the core disciplines of artificial intelligence have sets of standard benchmark problems well known and widely used by the community when developing new algorithms. Constra…

cs.AI2020

Towards Portfolios of Streamlined Constraint Models: A Case Study with the Balanced Academic Curriculum Problem

Patrick Spracklen, Nguyen Dang, Özgür Akgün +1

Augmenting a base constraint model with additional constraints can strengthen the inferences made by a solver and therefore reduce search effort. We focus on the automatic addition…