Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 241,166,818 papers from all fields of science
Search
Sign In
Create Free Account
Algorithm Selection
Algorithm Selection (sometimes also called per-instance algorithm selection or offline algorithm selection) is a meta-algorithmic technique to choose…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
9 relations
Automated planning and scheduling
Boolean satisfiability problem
Constraint satisfaction problem
Hyper-heuristic
Expand
Broader (2)
Computer science
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Generation techniques for linear and integer programming instances with controllable properties
S. Bowly
,
Kate Smith-Miles
,
Davaatseren Baatar
,
H. Mittelmann
2017
Corpus ID: 46514540
This paper addresses the problem of generating synthetic test cases for experimentation in linear and mixed integer programming…
Expand
2015
2015
Algorithm Selection based on Landmarking Meta-feature
Ashvini Balte
,
N. Pise
,
Ranjana Agrawal
2015
Corpus ID: 53382632
Knowledge discovery is the data mining task. Number of classification algorithms is present for knowledge discovery task in data…
Expand
2014
2014
Conguring Random CSP Generators to Favor a Particular Consistency Algorithm
Daniel J. Geschwender
,
Robert J. Woodward
,
B. Choueiry
2014
Corpus ID: 17797670
In Constraint Processing, no single consistency algorithm always outperforms all others, but the problem type and characteristics…
Expand
2010
2010
Genetic Algorithm Selection and Parameter Setting Based on Rule Induction
Du-Wu Cui
2010
Corpus ID: 63049212
In the design of genetic algorithm, the major issues are selection of algorithm type and parameter setting in Genetic Algorithm…
Expand
2006
2006
A Proposed Genetic Algorithm Selection Method
Jason G. Digalakis
,
K. Margaritis
2006
Corpus ID: 267347
Genetic algorithms (GAs) are stochastic search meth ods that mimic natural biological evolution. Genet ic algorithms are broadly…
Expand
2006
2006
Gambling in a Computationally Expensive Casino : Algorithm Selection as a Bandit Problem
M. Gagliolo
,
J. Schmidhuber
2006
Corpus ID: 5806304
Automating algorithm selection and parameter tuning is an o ld dream of the AI community, which has been brought closer to…
Expand
Review
2005
Review
2005
Self-Evolving Network Software
C. Tschudin
,
L. Yamamoto
Prax. Inf.verarb. Kommun.
2005
Corpus ID: 8092918
ABSTRACT Future network systems with myriads of elements must become self-managed: Beyond autoconfiguration, they will have to…
Expand
2005
2005
Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization
Arkady Epshteyn
,
M. Garzarán
,
+5 authors
K. Pingali
International Workshop on Languages and Compilers…
2005
Corpus ID: 10194163
Compilers employ system models, sometimes implicitly, to make code optimization decisions. These models are analytic; they…
Expand
2004
2004
Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction
Yong Xia
,
D. Feng
,
Rong-Chun Zhao
Pan-Sydney Area Workshop on Visual Information…
2004
Corpus ID: 12047049
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But…
Expand
2003
2003
Passive Microwave Methods of Determining Sea Ice Concentrations
J. Finnis
2003
Corpus ID: 43618336