Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Malitsky, Yuri"'
Autor:
Bischl, Bernd, Kerschke, Pascal, Kotthoff, Lars, Lindauer, Marius, Malitsky, Yuri, Frechette, Alexandre, Hoos, Holger, Hutter, Frank, Leyton-Brown, Kevin, Tierney, Kevin, Vanschoren, Joaquin
The task of algorithm selection involves choosing an algorithm from a set of algorithms on a per-instance basis in order to exploit the varying performance of algorithms over a set of instances. The algorithm selection problem is attracting increasin
Externí odkaz:
http://arxiv.org/abs/1506.02465
Instance-specific algorithm configuration and algorithm portfolios have been shown to offer significant improvements over single algorithm approaches in a variety of application domains. In the SAT and CSP domains algorithm portfolios have consistent
Externí odkaz:
http://arxiv.org/abs/1401.2474
Complete tree search is a highly effective method for tackling MIP problems, and over the years, a plethora of branching heuristics have been introduced to further refine the technique for varying problems. Recently, portfolio algorithms have taken t
Externí odkaz:
http://arxiv.org/abs/1307.4689
In recent years, portfolio approaches to solving SAT problems and CSPs have become increasingly common. There are also a number of different encodings for representing CSPs as SAT instances. In this paper, we leverage advances in both SAT and CSP sol
Externí odkaz:
http://arxiv.org/abs/1306.5606
Autor:
Bischl, Bernd, Kerschke, Pascal, Kotthoff, Lars, Lindauer, Marius, Malitsky, Yuri, Fréchette, Alexandre, Hoos, Holger, Hutter, Frank, Leyton-Brown, Kevin, Tierney, Kevin, Vanschoren, Joaquin
Publikováno v:
In Artificial Intelligence August 2016 237:41-58
Publikováno v:
In Artificial Intelligence June 2016 235:26-39
Publikováno v:
In European Journal of Operational Research 1 February 2016 248(3):943-953
Autor:
Malitsky, Yuri, Merschformann, Marius, O’Sullivan, Barry, Tierney, Kevin, Festa, Paola, Sellmann, Meinolf, Vanschoren, Joaquin
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319503486
LION
LION
Real-world instances are critical for the development of state-of-the-art algorithms, algorithm configuration techniques, and selection approaches. However, very few true industrial instances exist for most problems, which poses a problem both to alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be4727148fc42463ade79fb79c2c539c
https://doi.org/10.1007/978-3-319-50349-3_9
https://doi.org/10.1007/978-3-319-50349-3_9
Akademický článek
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Publikováno v:
Data Mining & Constraint Programming; 2016, p191-225, 35p