Analysing differences between algorithm configurations through ablation

Developers of high-performance algorithms for hard computational problems increasingly take advantage of automated parameter tuning and algorithm configuration tools, and consequently often create solvers with many parameters and vast configuration spaces. However, there has been very little work to...

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Bibliographic Details
Published in:	Journal of heuristics Vol. 22; no. 4; pp. 431 - 458
Main Authors:	Fawcett, Chris, Hoos, Holger H.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.08.2016 Springer Nature B.V
Subjects:	Ablation Algorithms Artificial Intelligence Automation Calculus of Variations and Optimal Control; Optimization Design of experiments Factorial experiments Genetic algorithms Heuristic Integer programming Management Science Mathematical analysis Mathematics Mathematics and Statistics Operations Research Operations Research/Decision Theory Optimization algorithms Production planning Studies Variance analysis Parameter importance Empirical analysis Ablation analysis Automated algorithm configuration
ISSN:	1381-1231, 1572-9397
Online Access:	Get full text
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