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Automated Algorithm Selection and Configuration (Dagstuhl Seminar 16412)

Authors: Holger H. Hoos, Frank Neumann, and Heike Trautmann

Published in: Dagstuhl Reports, Volume 6, Issue 10 (2017)

Abstract

This report documents the programme and the outcomes of Dagstuhl Seminar 16412 "Automated Algorithm Selection and Configuration", which was held October 9--14, 2016 and attended by 34 experts from 10 countries. Research on automated algorithm selection and configuration has lead to some of the most impressive successes within the broader area of empirical algorithmics, and has proven to be highly relevant to industrial applications. Specifically, high-performance algorithms for cnp-hard problems, such as propositional satisfiability (SAT) and mixed integer programming (MIP), are known to have a huge impact on sectors such as manufacturing, logistics, healthcare, finance, agriculture and energy systems, and algorithm selection and configuration techniques have been demonstrated to achieve substantial improvements in the performance of solvers for these problems. Apart from creating synergy through close interaction between the world's leading groups in the area, the seminar pursued two major goals: to promote and develop deeper understanding of the behaviour of algorithm selection and configuration techniques and to lay the groundwork for further improving their efficacy. Towards these ends, the organisation team brought together a group of carefully chosen researchers with strong expertise in computer science, statistics, mathematics, economics and engineering; a particular emphasis was placed on bringing together theorists, empiricists and experts from various application areas, with the goal of closing the gap between theory and practice.

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Holger H. Hoos, Frank Neumann, and Heike Trautmann. Automated Algorithm Selection and Configuration (Dagstuhl Seminar 16412). In Dagstuhl Reports, Volume 6, Issue 10, pp. 33-74, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@Article{hoos_et_al:DagRep.6.10.33,
  author =	{Hoos, Holger H. and Neumann, Frank and Trautmann, Heike},
  title =	{{Automated Algorithm Selection and Configuration (Dagstuhl Seminar 16412)}},
  pages =	{33--74},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2017},
  volume =	{6},
  number =	{10},
  editor =	{Hoos, Holger H. and Neumann, Frank and Trautmann, Heike},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.10.33},
  URN =		{urn:nbn:de:0030-drops-69569},
  doi =		{10.4230/DagRep.6.10.33},
  annote =	{Keywords: algorithm configuration, algorithm selection, features, machine learning, optimisation, performance prediction}
}

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DOI: 10.4230/DagSemProc.07181.8

Parallel Universes: Multi-Criteria Optimization

Authors: Claus Weihs and Heike Trautmann

Published in: Dagstuhl Seminar Proceedings, Volume 7181, Parallel Universes and Local Patterns (2007)

Abstract

In this paper parallel universes are defined by their relation to multi-criteria optimization combined with an explicit or implicit link for the unambiguous identification of an optimum. As an explicit link function the desirability index is introduced. Desirabilities are also used for restricting the Pareto set to desired parts.

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Claus Weihs and Heike Trautmann. Parallel Universes: Multi-Criteria Optimization. In Parallel Universes and Local Patterns. Dagstuhl Seminar Proceedings, Volume 7181, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{weihs_et_al:DagSemProc.07181.8,
  author =	{Weihs, Claus and Trautmann, Heike},
  title =	{{Parallel Universes: Multi-Criteria Optimization}},
  booktitle =	{Parallel Universes and Local Patterns},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{7181},
  editor =	{Michael R. Berthold and Katharina Morik and Arno Siebes},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07181.8},
  URN =		{urn:nbn:de:0030-drops-12557},
  doi =		{10.4230/DagSemProc.07181.8},
  annote =	{Keywords: Parallel Universes, Multi-Criteria Optimization, Pareto Optimization, Desirability Index, Desirability Functions}
}

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Documents authored by Trautmann, Heike

Automated Algorithm Selection and Configuration (Dagstuhl Seminar 16412)

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Parallel Universes: Multi-Criteria Optimization

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