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Non-Model-Based Algorithm Portfolios for SAT

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6695))

Abstract

When tackling a computationally challenging combinatorial problem, one often observes that some solution approaches work well on some instances, while other approaches work better on other instances. This observation has given rise to the idea of building algorithm portfolios [5]. Leyton-Brown et al. [1], for instance, proposed to select one of the algorithms in the portfolio based on some features of the instance to be solved. This approach has been blessed with tremendous success in the past. Especially in SAT, the SATzilla portfolios [7] have performed extremely well in past SAT Competitions [6].

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References

  1. Leyton-Brown, K., Nudelman, E., Andrew, G., McFadden, J., Shoham, Y.: A Portfolio Approach to Algorithm Selection. In: IJCAI, pp. 1542–1543 (2003)

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  5. Rice The, J.R.: algorithm selection problem. Advances in Computers, 65–118 (1976)

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  6. SAT Competition, http://www.satcomptition.org

  7. Xu, L., Hutter, F., Hoos, H.H., Leyton-Brown, K.: SATzilla: Portfolio-based Algorithm Selection for SAT. JAIR 32(1), 565–606 (2008)

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© 2011 Springer-Verlag Berlin Heidelberg

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Malitsky, Y., Sabharwal, A., Samulowitz, H., Sellmann, M. (2011). Non-Model-Based Algorithm Portfolios for SAT. In: Sakallah, K.A., Simon, L. (eds) Theory and Applications of Satisfiability Testing - SAT 2011. SAT 2011. Lecture Notes in Computer Science, vol 6695. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21581-0_33

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  • DOI: https://doi.org/10.1007/978-3-642-21581-0_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21580-3

  • Online ISBN: 978-3-642-21581-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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