메뉴 건너뛰기




Volumn 4, Issue , 2014, Pages 2594-2600

MaxSAT by improved instance-specific algorithm configuration

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM CONFIGURATIONS; MAX-SAT;

EID: 84908211235     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (49)
  • 1
    • 33644511374 scopus 로고    scopus 로고
    • Fine-tuning of algorithms using fractional experimental design and local search
    • Adenso-Diaz, B., and Laguna, M. 2006. Fine-tuning of algorithms using fractional experimental design and local search. Operations Research 54(1):99-114.
    • (2006) Operations Research , vol.54 , Issue.1 , pp. 99-114
    • Adenso-Diaz, B.1    Laguna, M.2
  • 2
    • 84904750272 scopus 로고    scopus 로고
    • Solving (weighted) partial maxsat with ilp
    • Ansotegui, C., and Gabas, J. 2013. Solving (weighted) partial maxsat with ilp. CPAIOR.
    • (2013) CPAIOR
    • Ansotegui, C.1    Gabas, J.2
  • 3
    • 70350646568 scopus 로고    scopus 로고
    • Solving (weighted) partial maxsat through satisfiability testing
    • Ansotegui, C.; Bonet, M.; and Levy, J. 2009. Solving (weighted) partial maxsat through satisfiability testing. SAT 427-440.
    • (2009) SAT , pp. 427-440
    • Ansotegui, C.1    Bonet, M.2    Levy, J.3
  • 4
    • 70350773809 scopus 로고    scopus 로고
    • A gender- based genetic algorithm for the automatic configuration of algorithms
    • Ansotegui, C.; Sellmann, M.; and Tierney, K. 2009. A gender- based genetic algorithm for the automatic configuration of algorithms. CP 142-157.
    • (2009) CP , pp. 142-157
    • Ansotegui, C.1    Sellmann, M.2    Tierney, K.3
  • 5
    • 38049181433 scopus 로고    scopus 로고
    • Partial max-sat solvers with clause learning
    • Argelich, J., and Many&, F. 2007. Partial Max-SAT solvers with clause learning. SAT 28-40.
    • (2007) SAT , pp. 28-40
    • Argelich, J.1    Many, F.2
  • 8
    • 34547930273 scopus 로고    scopus 로고
    • Finding optimal algorithmic parameters using derivative-free optimization
    • Audet, C., and Orban, D. 2006. Finding optimal algorithmic parameters using derivative-free optimization. SIAM J. on Optimization 17(3):642-664.
    • (2006) SIAM J. on Optimization , vol.17 , Issue.3 , pp. 642-664
    • Audet, C.1    Orban, D.2
  • 11
    • 84908205853 scopus 로고    scopus 로고
    • Competition, S. 2012. www.satcomptition.org.
    • (2012) Competition, S.
  • 12
    • 0035128384 scopus 로고    scopus 로고
    • Using experimental design to find effective parameter settings for heuristics
    • Coy, S.; Golden, B.; Runger, G.; and Wasil, E. 2001. Using experimental design to find effective parameter settings for heuristics. Journal of Heuristics 7:77-97.
    • (2001) Journal of Heuristics , vol.7 , pp. 77-97
    • Coy, S.1    Golden, B.2    Runger, G.3    Wasil, E.4
  • 13
    • 38149067474 scopus 로고    scopus 로고
    • On inconsistent clause-subsets for max-SAT solving
    • Darras, S.; Dequen, G.; Devendeville, L.; and Li, C. 2007. On inconsistent clause-subsets for Max-SAT solving. CP 225-240.
    • (2007) CP , pp. 225-240
    • Darras, S.1    Dequen, G.2    Devendeville, L.3    Li, C.4
  • 14
    • 33749564382 scopus 로고    scopus 로고
    • On solving the partial max-sat problem
    • Fu, Z., and Malik, S. 2006. On solving the partial max-sat problem. SAT 252-265.
    • (2006) SAT , pp. 252-265
    • Fu, Z.1    Malik, S.2
  • 15
    • 9144231916 scopus 로고    scopus 로고
    • Learning the k in k-means
    • Hamerly, G., and Elkan, C. 2003. Learning the k in k-means. NIPS.
    • (2003) NIPS
    • Hamerly, G.1    Elkan, C.2
  • 16
    • 38049156389 scopus 로고    scopus 로고
    • Minimaxsat: A new weighted max-sat solver
    • Heras, F.; Larrosa, J.; and Oliveras, A. 2007. Minimaxsat: A new weighted max-sat solver. SAT 41-55.
    • (2007) SAT , pp. 41-55
    • Heras, F.1    Larrosa, J.2    Oliveras, A.3
  • 18
    • 84855793562 scopus 로고    scopus 로고
    • Adaptive novelty+: Novelty+ with adaptive noise
    • Hoos, H. 2002. Adaptive novelty+: Novelty+ with adaptive noise. AAAI.
    • (2002) AAAI
    • Hoos, H.1
  • 20
    • 73649115991 scopus 로고    scopus 로고
    • Paramils: An automatic algorithm configuration framework
    • Hutter, F.; Hoos, H.; Leyton-Brown, K.; and Stuetzle, T. 2009. Paramils: An automatic algorithm configuration framework. JAIR 36:267-306.
    • (2009) JAIR , vol.36 , pp. 267-306
    • Hutter, F.1    Hoos, H.2    Leyton-Brown, K.3    Stuetzle, T.4
  • 21
    • 84855779620 scopus 로고    scopus 로고
    • Rsaps: Reactive scaling and probabilistic smoothing
    • Hutter, F.; Tompkins, D.; and Hoos, H. 2002. Rsaps: Reactive scaling and probabilistic smoothing. CP.
    • (2002) CP
    • Hutter, F.1    Tompkins, D.2    Hoos, H.3
  • 22
    • 77956044105 scopus 로고    scopus 로고
    • ISAC - instance-specific algorithm configuration
    • Kadioglu, S.; Malitsky, Y.; Sellmann, M.; and Tierney, K. 2010. ISAC - instance-specific algorithm configuration. ECAI 751-756.
    • (2010) ECAI , pp. 751-756
    • Kadioglu, S.1    Malitsky, Y.2    Sellmann, M.3    Tierney, K.4
  • 24
    • 84868265747 scopus 로고    scopus 로고
    • Qmaxsat: A partial max-sat solver
    • Koshimura, M.; Zhang, T.; Fujita, H.; and Hasegawa, R. 2012. Qmaxsat: A partial max-sat solver. JSAT 8(1/2):95-100.
    • (2012) JSAT , vol.8 , Issue.1-2 , pp. 95-100
    • Koshimura, M.1    Zhang, T.2    Fujita, H.3    Hasegawa, R.4
  • 25
    • 84897719509 scopus 로고    scopus 로고
    • Improved exact solver for the weighted max-sat problem
    • Kuegel, A. 2012. Improved exact solver for the weighted max-sat problem. POS-IO 8:15-27.
    • (2012) POS-IO , vol.8 , pp. 15-27
    • Kuegel, A.1
  • 26
    • 26444619376 scopus 로고    scopus 로고
    • G2wsat: Gradient-based greedy walk- sat
    • Li, C., and Huang, W. 2005. G2wsat: Gradient-based greedy walk- sat. SAT 3569:158-172.
    • (2005) SAT , vol.3569 , pp. 158-172
    • Li, C.1    Huang, W.2
  • 27
    • 57749205168 scopus 로고    scopus 로고
    • Within-problem learning for efficient lower bound computation in max-SAT solving
    • Lin, H.; Su, K.; and Li, C. 2008. Within-problem learning for efficient lower bound computation in Max-SAT solving. AAAI 351-356.
    • (2008) AAAI , pp. 351-356
    • Lin, H.1    Su, K.2    Li, C.3
  • 28
    • 84861443940 scopus 로고    scopus 로고
    • Instance-specific algorithm configuration as a method for non-model-based portfolio generation
    • Malitsky, Y., and Sellmann, M. 2012. Instance-specific algorithm configuration as a method for non-model-based portfolio generation. CPAIOR 244-259.
    • (2012) CPAIOR , pp. 244-259
    • Malitsky, Y.1    Sellmann, M.2
  • 29
    • 84896063318 scopus 로고    scopus 로고
    • Algorithm portfolios based on cost-sensitive hierarchical clustering
    • Malitsky, Y.; Sabharwal, A.; Samulowitz, H.; and Sellmann, M. 2013. Algorithm portfolios based on cost-sensitive hierarchical clustering. IJCAI.
    • (2013) IJCAI
    • Malitsky, Y.1    Sabharwal, A.2    Samulowitz, H.3    Sellmann, M.4
  • 31
    • 70350685754 scopus 로고    scopus 로고
    • Algorithms for weighted Boolean optimization
    • Manquinho, V.; Marques-Silva, J.; and Planes, J. 2009. Algorithms for weighted boolean optimization. SAT 495-508.
    • (2009) SAT , pp. 495-508
    • Manquinho, V.1    Marques-Silva, J.2    Planes, J.3
  • 35
    • 70350675971 scopus 로고    scopus 로고
    • Instance based selection of policies for sat solvers
    • Nikolic, M.; Marie, F.; and Janici, P. 2009. Instance based selection of policies for sat solvers. SAT 326-340.
    • (2009) SAT , pp. 326-340
    • Nikolic, M.1    Marie, F.2    Janici, P.3
  • 36
    • 78751534028 scopus 로고    scopus 로고
    • Using case-based reasoning in an algorithm portfolio for constraint solving
    • O'Mahony, E.; Hebrard, E.; Holland, A.; Nugent, C.; and O'Sullivan, B. 2008. Using case-based reasoning in an algorithm portfolio for constraint solving. AICS.
    • (2008) AICS
    • O'Mahony, E.1    Hebrard, E.2    Holland, A.3    Nugent, C.4    O'Sullivan, B.5
  • 39
    • 84855782716 scopus 로고    scopus 로고
    • Vw: Variable weighting scheme
    • Prestwich, S. 2005. Vw: Variable weighting scheme. SAT.
    • (2005) SAT
    • Prestwich, S.1
  • 40
    • 38349011818 scopus 로고    scopus 로고
    • A multi-engine solver for quantified boolean formulas
    • Pulina, L., and Tacchella, A. 2007. A multi-engine solver for quantified boolean formulas. CP 574-589.
    • (2007) CP , pp. 574-589
    • Pulina, L.1    Tacchella, A.2
  • 41
    • 80053019389 scopus 로고    scopus 로고
    • Latent class models for algorithm portfolio methods
    • Silverthorn, B., and Miikkulainen, R. 2010. Latent class models for algorithm portfolio methods. AAAI.
    • (2010) AAAI
    • Silverthorn, B.1    Miikkulainen, R.2
  • 42
    • 58349106771 scopus 로고    scopus 로고
    • Additive versus multiplicative clause weighting for sat
    • Thornton, J.; Pham, D.; Bain, S.; and Ferreira, V. 2008. Additive versus multiplicative clause weighting for sat. PRICAI 405-416.
    • (2008) PRICAI , pp. 405-416
    • Thornton, J.1    Pham, D.2    Bain, S.3    Ferreira, V.4
  • 45
    • 84855773850 scopus 로고    scopus 로고
    • Combining adaptive noise and promising decreasing variables in local search for sat. Solver description
    • Wei, W.; Li, C.; and Zhang, H. 2007b. Combining adaptive noise and promising decreasing variables in local search for sat. solver description. SAT Competition.
    • (2007) SAT Competition
    • Wei, W.1    Li, C.2    Zhang, H.3
  • 46
    • 84855809085 scopus 로고    scopus 로고
    • Deterministic and random selection of variables in local search for sat. Solver description
    • Wei, W.; Li, C.; and Zhang, H. 2007c. Deterministic and random selection of variables in local search for sat. solver description. SAT Competition.
    • (2007) SAT Competition
    • Wei, W.1    Li, C.2    Zhang, H.3
  • 47
    • 52249100995 scopus 로고    scopus 로고
    • Satzilla: Portfolio-based algorithm selection for sat
    • Xu, L.; Hutter, F.; Hoos, H.; and Leyton-Brown, K. 2008. Satzilla: portfolio-based algorithm selection for sat. JAIR 32(1):565-606.
    • (2008) JAIR , vol.32 , Issue.1 , pp. 565-606
    • Xu, L.1    Hutter, F.2    Hoos, H.3    Leyton-Brown, K.4
  • 48
    • 84886558025 scopus 로고    scopus 로고
    • Satzilla 2012: Improved algorithm selection based on cost- sensitive classification models
    • Xu, L.; Hutter, F.; Shen, J.; Hoos, H.; and Leyton-Brown, K. 2012. Satzilla 2012: Improved algorithm selection based on cost- sensitive classification models. SAT Competition.
    • (2012) SAT Competition
    • Xu, L.1    Hutter, F.2    Shen, J.3    Hoos, H.4    Leyton-Brown, K.5
  • 49
    • 84890939187 scopus 로고    scopus 로고
    • Hydra: Automatically configuring algorithms for portfolio-based selection
    • Xu, L.; Hoos, H.; and Leyton-Brown, K. 2010. Hydra: Automatically configuring algorithms for portfolio-based selection. AAAI.
    • (2010) AAAI
    • Xu, L.1    Hoos, H.2    Leyton-Brown, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.