The algorithm selection competitions 2015 and 2017

DOI10.1016/j.artint.2018.10.004zbMath1478.68273arXiv1805.01214OpenAlexW2895357514WikidataQ128626472 ScholiaQ128626472MaRDI QIDQ2321293

Jan N. van Rijn, Marius Lindauer, Lars Kotthoff

Publication date: 28 August 2019

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1805.01214

zbMATH Keywords

algorithm selectionmeta-learningcompetition analysis

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) General topics in artificial intelligence (68T01)

Related Items (3)

Algorithm selection on a meta level ⋮ Decomposition-based multi-objective landscape features and automated algorithm selection ⋮ On the use of fitness landscape features in meta-learning based algorithm selection for the quadratic assignment problem

Uses Software

• MiniZinc
• SATzilla
• WEKA
• Proteus
• claspfolio 2
• ASlib
• OpenML
• Spearmint
• Auto-WEKA
• llama
• SMAC
• aspeed
• SUNNY
• auto-sklearn
• AutoFolio

Cites Work

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• MaxSAT by improved instance-specific algorithm configuration
• ASlib: a benchmark library for algorithm selection
• Algorithm runtime prediction: methods \& evaluation
• Automatic construction of parallel portfolios via algorithm configuration
• The online performance estimation framework: heterogeneous ensemble learning for data streams
• SUNNY: a Lazy Portfolio Approach for Constraint Solving
• claspfolio2: Advances in Algorithm Selection for Answer Set Programming
• Metalearning
• aspeed: Solver scheduling via answer set programming
• Plan Bouquets
• Algorithm portfolios

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