Using metaheuristic algorithms for parameter estimation in generalized Mallows models
•We deal with the problem of parameter estimation in Generalized Mallows model (GMM).•We deal with 22 real datasets, all of them but one created by the authors.•We have designed two experiments varying the maximum evaluations allowed.•Obtained results significantly improve the previous competing app...
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| Published in: | Applied soft computing Vol. 38; pp. 308 - 320 |
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| Language: | English |
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01.01.2016
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| ISSN: | 1568-4946, 1872-9681 |
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| Abstract | •We deal with the problem of parameter estimation in Generalized Mallows model (GMM).•We deal with 22 real datasets, all of them but one created by the authors.•We have designed two experiments varying the maximum evaluations allowed.•Obtained results significantly improve the previous competing approaches.
This paper deals with the problem of parameter estimation in the generalized Mallows model (GMM) by using both local and global search metaheuristic (MH) algorithms. The task we undertake is to learn parameters for defining the GMM from a dataset of complete rankings/permutations. Several approaches can be found in the literature, some of which are based on greedy search and branch and bound search. The greedy approach has the disadvantage of usually becoming trapped in local optima, while the branch and bound approach, basically A* search, usually comes down to approximate search because of memory requirements, losing in this way its guaranteed optimality. Here, we carry out a comparative study of several MH algorithms (iterated local search (ILS) methods, variable neighborhood search (VNS) methods, genetic algorithms (GAs) and estimation of distribution algorithms (EDAs)) and a tailored algorithm A* to address parameter estimation in GMMs. We use 22 real datasets of different complexity, all but one of which were created by the authors by preprocessing real raw data. We provide a complete analysis of the experiments in terms of accuracy, number of iterations and CPU time requirements. |
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| AbstractList | •We deal with the problem of parameter estimation in Generalized Mallows model (GMM).•We deal with 22 real datasets, all of them but one created by the authors.•We have designed two experiments varying the maximum evaluations allowed.•Obtained results significantly improve the previous competing approaches.
This paper deals with the problem of parameter estimation in the generalized Mallows model (GMM) by using both local and global search metaheuristic (MH) algorithms. The task we undertake is to learn parameters for defining the GMM from a dataset of complete rankings/permutations. Several approaches can be found in the literature, some of which are based on greedy search and branch and bound search. The greedy approach has the disadvantage of usually becoming trapped in local optima, while the branch and bound approach, basically A* search, usually comes down to approximate search because of memory requirements, losing in this way its guaranteed optimality. Here, we carry out a comparative study of several MH algorithms (iterated local search (ILS) methods, variable neighborhood search (VNS) methods, genetic algorithms (GAs) and estimation of distribution algorithms (EDAs)) and a tailored algorithm A* to address parameter estimation in GMMs. We use 22 real datasets of different complexity, all but one of which were created by the authors by preprocessing real raw data. We provide a complete analysis of the experiments in terms of accuracy, number of iterations and CPU time requirements. |
| Author | Aledo, Juan A. Gámez, Jose A. Molina, David |
| Author_xml | – sequence: 1 givenname: Juan A. surname: Aledo fullname: Aledo, Juan A. email: juanangel.aledo@uclm.es organization: Departamento de Matemáticas, Universidad de Castilla-La Mancha, Albacete 02071, Spain – sequence: 2 givenname: Jose A. surname: Gámez fullname: Gámez, Jose A. email: jose.gamez@uclm.es organization: Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, Albacete 02071, Spain – sequence: 3 givenname: David surname: Molina fullname: Molina, David email: david.molina@uclm.es organization: Departamento de Matemáticas, Universidad de Castilla-La Mancha, Albacete 02071, Spain |
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| Cites_doi | 10.1214/aoms/1177731944 10.1016/j.ejor.2005.01.066 10.1016/j.eswa.2012.01.152 10.1016/j.cam.2004.07.034 10.1016/j.ejor.2005.12.009 10.1007/s00500-008-0373-1 10.1016/j.amc.2013.07.081 10.1016/j.cam.2006.03.048 10.1023/A:1006529012972 10.1109/TSSC.1968.300136 10.1111/itor.12028 10.2307/2332226 10.1007/0-306-48056-5_5 10.1080/01621459.1988.10478679 10.1016/j.mathsocsci.2011.08.008 10.1007/s10479-009-0657-6 10.1613/jair.587 10.1109/TEVC.2013.2260548 10.1007/BF00202901 10.1111/j.2517-6161.1986.tb01420.x 10.1613/jair.2830 10.1093/biomet/44.1-2.114 |
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| References | Holm (bib0115) 1979; 6 Larra naga, Kuijpers, Murga, Inza, Dizdarevic (bib0150) 1999; 13 Aledo, Gámez, Molina (bib0005) 2013; 222 Moscato, Cotta (bib0195) 2003 Lourenço, Martin, Stützle (bib0155) 2002 Ceberio (bib0020) 2014 Larra naga, Lozano (bib0145) 2001 Kemeny, Snell (bib0135) 1962 Cohen, Schapire, Singer (bib0040) 1999; 10 Meila, Phadnis, Patterson, Bilmes (bib0175) 2007 Stützle (bib0210) 2006; 174 Diaconis (bib0060) 1988 Kendall (bib0140) 1938; 30 Ali, Meila (bib0010) 2012; 64 Freitas (bib0085) 2002 Kamishima (bib0125) 2003 Michalewicz (bib0180) 1992 Fogel (bib0080) 1988; 60 Mallows (bib0160) 1957; 44 Selman, Gomes (bib0205) 2006 Kelner, Capitanescu, Léonard, Wehenkel (bib0130) 2008; 215 Michalewicz, Fogel (bib0185) 2004 Tsutsui (bib0220) 2002 del Jesus, Gámez, Puerta (bib0050) 2009; 13 Costa, Goldbarg, Goldbarg (bib0045) 2012; 39 Fligner, Verducci (bib0065) 1986; 48 Tsutsui (bib0230) 2006 Chen, Branavan, Barzilay, Karger (bib0030) 2009; 36 Gendreau, Potvin (bib0095) 2010 Tsutsui (bib0225) 2006 Borda (bib0015) 1781 Goldberg (bib0100) 1989 Hart, Nilsson, Raphael (bib0110) 1968; 4 Friedman (bib0090) 1940; 11 Mandhani, Meila (bib0165) 2009; 5 Juan, Lourenço, Mateo, Luo, Castella (bib0120) 2014; 21 McCall (bib0170) 2005; 184 Cheng, Hüllermeier (bib0035) 2008 Demšar (bib0055) 2006; 7 Hansen, Mladenovic, Moreno (bib0105) 2010; 175 Ruiz, Stützle (bib0200) 2007; 177 Fligner, Verducci (bib0070) 1993 Ceberio, Irurozki, Mendiburu, Lozano (bib0025) 2014; 18 Miller, Goldberg (bib0190) 1995; 9 Syswerda (bib0215) 1991 Volkovs, Zemel (bib0235) 2012 Fligner, Verducci (bib0075) 1988; 83 Kemeny (10.1016/j.asoc.2015.09.050_bib0135) 1962 Chen (10.1016/j.asoc.2015.09.050_bib0030) 2009; 36 Costa (10.1016/j.asoc.2015.09.050_bib0045) 2012; 39 Lourenço (10.1016/j.asoc.2015.09.050_bib0155) 2002 Aledo (10.1016/j.asoc.2015.09.050_bib0005) 2013; 222 Ruiz (10.1016/j.asoc.2015.09.050_bib0200) 2007; 177 Kelner (10.1016/j.asoc.2015.09.050_bib0130) 2008; 215 Mandhani (10.1016/j.asoc.2015.09.050_bib0165) 2009; 5 Miller (10.1016/j.asoc.2015.09.050_bib0190) 1995; 9 Larra naga (10.1016/j.asoc.2015.09.050_bib0150) 1999; 13 Fogel (10.1016/j.asoc.2015.09.050_bib0080) 1988; 60 Gendreau (10.1016/j.asoc.2015.09.050_bib0095) 2010 Mallows (10.1016/j.asoc.2015.09.050_bib0160) 1957; 44 McCall (10.1016/j.asoc.2015.09.050_bib0170) 2005; 184 Freitas (10.1016/j.asoc.2015.09.050_bib0085) 2002 Diaconis (10.1016/j.asoc.2015.09.050_bib0060) 1988 Ceberio (10.1016/j.asoc.2015.09.050_bib0025) 2014; 18 Friedman (10.1016/j.asoc.2015.09.050_bib0090) 1940; 11 Tsutsui (10.1016/j.asoc.2015.09.050_bib0220) 2002 Tsutsui (10.1016/j.asoc.2015.09.050_bib0230) 2006 Demšar (10.1016/j.asoc.2015.09.050_bib0055) 2006; 7 Moscato (10.1016/j.asoc.2015.09.050_bib0195) 2003 Fligner (10.1016/j.asoc.2015.09.050_bib0075) 1988; 83 Borda (10.1016/j.asoc.2015.09.050_bib0015) 1781 Cohen (10.1016/j.asoc.2015.09.050_bib0040) 1999; 10 Fligner (10.1016/j.asoc.2015.09.050_bib0070) 1993 Meila (10.1016/j.asoc.2015.09.050_bib0175) 2007 Volkovs (10.1016/j.asoc.2015.09.050_bib0235) 2012 Selman (10.1016/j.asoc.2015.09.050_bib0205) 2006 Goldberg (10.1016/j.asoc.2015.09.050_bib0100) 1989 Michalewicz (10.1016/j.asoc.2015.09.050_bib0180) 1992 Fligner (10.1016/j.asoc.2015.09.050_bib0065) 1986; 48 Stützle (10.1016/j.asoc.2015.09.050_bib0210) 2006; 174 Hansen (10.1016/j.asoc.2015.09.050_bib0105) 2010; 175 Kamishima (10.1016/j.asoc.2015.09.050_bib0125) 2003 Juan (10.1016/j.asoc.2015.09.050_bib0120) 2014; 21 Michalewicz (10.1016/j.asoc.2015.09.050_bib0185) 2004 Ceberio (10.1016/j.asoc.2015.09.050_bib0020) 2014 del Jesus (10.1016/j.asoc.2015.09.050_bib0050) 2009; 13 Cheng (10.1016/j.asoc.2015.09.050_bib0035) 2008 Tsutsui (10.1016/j.asoc.2015.09.050_bib0225) 2006 Holm (10.1016/j.asoc.2015.09.050_bib0115) 1979; 6 Syswerda (10.1016/j.asoc.2015.09.050_bib0215) 1991 Hart (10.1016/j.asoc.2015.09.050_bib0110) 1968; 4 Kendall (10.1016/j.asoc.2015.09.050_bib0140) 1938; 30 Ali (10.1016/j.asoc.2015.09.050_bib0010) 2012; 64 Larra naga (10.1016/j.asoc.2015.09.050_bib0145) 2001 |
| References_xml | – volume: 222 start-page: 632 year: 2013 end-page: 644 ident: bib0005 article-title: Tackling the rank aggregation problem with evolutionary algorithms publication-title: Appl. Math. Comput. – volume: 60 start-page: 139 year: 1988 end-page: 144 ident: bib0080 article-title: An evolutionary approach to the traveling salesman problem publication-title: Biol. Cybern. – year: 1992 ident: bib0180 article-title: Genetic Algorithms – volume: 64 start-page: 28 year: 2012 end-page: 40 ident: bib0010 article-title: Experiments with Kemeny ranking: what works when? publication-title: Math. Soc. Sci. – start-page: 143 year: 2008 end-page: 157 ident: bib0035 article-title: Instance-based label ranking using the Mallows model publication-title: ECCBR 2008, The 9th European Conference on Case-Based Reasoning – volume: 13 start-page: 209 year: 2009 end-page: 212 ident: bib0050 article-title: Evolutionary and metaheuristics based data mining publication-title: Soft Comput. – volume: 21 start-page: 103 year: 2014 end-page: 126 ident: bib0120 article-title: Using iterated local search for solving the flow-shop problem: parallelization, parametrization, and randomization issues publication-title: Int. Trans. Oper. Res. – volume: 175 start-page: 367 year: 2010 end-page: 407 ident: bib0105 article-title: Variable neighbourhood search: methods and applications publication-title: Ann. Oper. Res. – volume: 6 start-page: 65 year: 1979 end-page: 70 ident: bib0115 article-title: A simple sequentially rejective multiple test procedure publication-title: Scand. J. Stat. – volume: 5 start-page: 392 year: 2009 end-page: 399 ident: bib0165 article-title: Tractable search for learning exponential models of rankings publication-title: J. Mach. Learn. Res. Proc. Track – start-page: 105 year: 2003 end-page: 144 ident: bib0195 article-title: A gentle introduction to memetic algorithms publication-title: Handbook of Metaheuristics, vol. 57 of International Series in Operations Research & Management Science – year: 1989 ident: bib0100 article-title: Genetic Algorithms in Search, Optimization and Machine Learning – start-page: 333 year: 2006 end-page: 336 ident: bib0205 article-title: Hill-climbing search publication-title: Encyclopedia of Cognitive Science – volume: 4 start-page: 100 year: 1968 end-page: 107 ident: bib0110 article-title: A formal basis for the heuristic determination of minimum cost paths publication-title: IEEE Trans. Syst. Sci. Cybern. – start-page: 224 year: 2002 end-page: 233 ident: bib0220 article-title: Probabilistic model-building genetic algorithms in permutation representation domain using edge histogram publication-title: Parallel Problem Solving from Nature – PPSN VII, 7th International Conference – volume: 36 start-page: 129 year: 2009 end-page: 163 ident: bib0030 article-title: Content modeling using latent permutations publication-title: J. Artif. Intell. Res. – start-page: 321 year: 2002 end-page: 353 ident: bib0155 article-title: Iterated local search publication-title: Handbook of Metaheuristics, vol. 57 of International Series in Operations Research and Management Science – volume: 215 start-page: 448 year: 2008 end-page: 456 ident: bib0130 article-title: A hybrid optimization technique coupling an evolutionary and a local search algorithm publication-title: J. Comput. Appl. Math. – volume: 18 start-page: 286 year: 2014 end-page: 300 ident: bib0025 article-title: A distance-based ranking model estimation of distribution algorithm for the flowshop scheduling problem publication-title: IEEE Trans. Evol. Comput. – volume: 30 start-page: 81 year: 1938 end-page: 93 ident: bib0140 article-title: A new measure of rank correlation publication-title: Biometrika – year: 2001 ident: bib0145 article-title: Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation – volume: 10 start-page: 243 year: 1999 end-page: 270 ident: bib0040 article-title: Learning to order things publication-title: J. Artif. Intell. Res. – volume: 174 start-page: 1519 year: 2006 end-page: 1539 ident: bib0210 article-title: Iterated local search for the quadratic assignment problem publication-title: Eur. J. Oper. Res. – year: 2004 ident: bib0185 article-title: How to Solve It: Modern Heuristics – year: 2010 ident: bib0095 article-title: Handbook of Metaheuristics – volume: 11 start-page: 86 year: 1940 end-page: 92 ident: bib0090 article-title: A comparison of alternative tests of significance for the problem of publication-title: Ann. Math. Stat. – volume: 44 start-page: 114 year: 1957 end-page: 130 ident: bib0160 article-title: Non-null ranking models. I publication-title: Biometrika – volume: 184 start-page: 205 year: 2005 end-page: 222 ident: bib0170 article-title: Genetic algorithms for modelling and optimisation publication-title: J. Comput. Appl. Math. – year: 2002 ident: bib0085 article-title: Data Mining and Knowledge Discovery with Evolutionary Algorithms – start-page: 3132 year: 2006 end-page: 3137 ident: bib0225 article-title: A comparative study of sampling methods in node histogram models with probabilistic model-building genetic algorithms publication-title: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics – volume: 7 start-page: 1 year: 2006 end-page: 30 ident: bib0055 article-title: Statistical comparisons of classifiers over multiple data sets publication-title: J. Mach. Learn. Res. – year: 2007 ident: bib0175 article-title: Consensus ranking under the exponential model publication-title: 22nd Conference on Uncertainty in Artificial Intelligence (UAI07) – volume: 9 start-page: 193 year: 1995 end-page: 212 ident: bib0190 article-title: Genetic algorithms, tournament selection, and the effects of noise publication-title: Complex Syst. – year: 2014 ident: bib0020 article-title: Solving Permutation-Based Combinatorial Optimization Problems with Estimation of Distribution Algorithms and Extensions Thereof – year: 1993 ident: bib0070 article-title: Probability Models and Statistical Analyses for Ranking Data – start-page: 332 year: 1991 end-page: 349 ident: bib0215 article-title: Schedule optimization using genetic algorithms publication-title: Handbook of Genetics Algorithms – start-page: 583 year: 2003 end-page: 588 ident: bib0125 article-title: Nantonac collaborative filtering: recommendation based on order responses publication-title: The 9th International Conference on Knowledge Discovery and Data Mining (KDD) – year: 1962 ident: bib0135 article-title: Mathematical Models in the Social Sciences – start-page: 479 year: 2012 end-page: 488 ident: bib0235 article-title: A flexible generative model for preference aggregation publication-title: Proceedings of the 21st international conference on World Wide Web, WWW '12 – volume: 48 start-page: 359 year: 1986 end-page: 369 ident: bib0065 article-title: Distance based ranking models publication-title: J. R. Stat. Soc. – volume: 39 start-page: 8149 year: 2012 end-page: 8161 ident: bib0045 article-title: New VNS heuristic for total flowtime flowshop scheduling problem publication-title: Expert Syst. Appl. – year: 1988 ident: bib0060 article-title: Group Representations in Probability and Statistics. Lecture Notes – Monograph Series, vol. 11 – year: 1781 ident: bib0015 article-title: Memoire sur les elections au scrutin publication-title: Histoire de l’Academie Royal des Sciences – volume: 83 start-page: 892 year: 1988 end-page: 901 ident: bib0075 article-title: Multistage ranking models publication-title: J. Am. Stat. Assoc. – volume: 177 start-page: 2033 year: 2007 end-page: 2049 ident: bib0200 article-title: A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem publication-title: Eur. J. Oper. Res. – start-page: 1939 year: 2006 end-page: 1946 ident: bib0230 article-title: Node histogram vs. edge histogram: A comparison of probabilistic model-building genetic algorithms in permutation domains publication-title: IEEE International Conference on Evolutionary Computation – volume: 13 start-page: 129 year: 1999 end-page: 170 ident: bib0150 article-title: Genetic algorithms for the travelling salesman problem: a review of representations and operators publication-title: Artif. Intell. Rev. – start-page: 143 year: 2008 ident: 10.1016/j.asoc.2015.09.050_bib0035 article-title: Instance-based label ranking using the Mallows model – volume: 11 start-page: 86 issue: 1 year: 1940 ident: 10.1016/j.asoc.2015.09.050_bib0090 article-title: A comparison of alternative tests of significance for the problem of m rankings publication-title: Ann. Math. Stat. doi: 10.1214/aoms/1177731944 – volume: 174 start-page: 1519 issue: 3 year: 2006 ident: 10.1016/j.asoc.2015.09.050_bib0210 article-title: Iterated local search for the quadratic assignment problem publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2005.01.066 – volume: 39 start-page: 8149 issue: 9 year: 2012 ident: 10.1016/j.asoc.2015.09.050_bib0045 article-title: New VNS heuristic for total flowtime flowshop scheduling problem publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2012.01.152 – volume: 184 start-page: 205 issue: 1 year: 2005 ident: 10.1016/j.asoc.2015.09.050_bib0170 article-title: Genetic algorithms for modelling and optimisation publication-title: J. Comput. Appl. Math. doi: 10.1016/j.cam.2004.07.034 – volume: 177 start-page: 2033 issue: 3 year: 2007 ident: 10.1016/j.asoc.2015.09.050_bib0200 article-title: A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2005.12.009 – volume: 13 start-page: 209 issue: 3 year: 2009 ident: 10.1016/j.asoc.2015.09.050_bib0050 article-title: Evolutionary and metaheuristics based data mining publication-title: Soft Comput. doi: 10.1007/s00500-008-0373-1 – volume: 222 start-page: 632 year: 2013 ident: 10.1016/j.asoc.2015.09.050_bib0005 article-title: Tackling the rank aggregation problem with evolutionary algorithms publication-title: Appl. Math. Comput. doi: 10.1016/j.amc.2013.07.081 – year: 2010 ident: 10.1016/j.asoc.2015.09.050_bib0095 – volume: 215 start-page: 448 issue: 2 year: 2008 ident: 10.1016/j.asoc.2015.09.050_bib0130 article-title: A hybrid optimization technique coupling an evolutionary and a local search algorithm publication-title: J. Comput. Appl. Math. doi: 10.1016/j.cam.2006.03.048 – year: 2007 ident: 10.1016/j.asoc.2015.09.050_bib0175 article-title: Consensus ranking under the exponential model – year: 1989 ident: 10.1016/j.asoc.2015.09.050_bib0100 – start-page: 333 year: 2006 ident: 10.1016/j.asoc.2015.09.050_bib0205 article-title: Hill-climbing search – volume: 13 start-page: 129 issue: 2 year: 1999 ident: 10.1016/j.asoc.2015.09.050_bib0150 article-title: Genetic algorithms for the travelling salesman problem: a review of representations and operators publication-title: Artif. Intell. Rev. doi: 10.1023/A:1006529012972 – year: 2004 ident: 10.1016/j.asoc.2015.09.050_bib0185 – start-page: 1939 year: 2006 ident: 10.1016/j.asoc.2015.09.050_bib0230 article-title: Node histogram vs. edge histogram: A comparison of probabilistic model-building genetic algorithms in permutation domains – volume: 4 start-page: 100 issue: 2 year: 1968 ident: 10.1016/j.asoc.2015.09.050_bib0110 article-title: A formal basis for the heuristic determination of minimum cost paths publication-title: IEEE Trans. Syst. Sci. Cybern. doi: 10.1109/TSSC.1968.300136 – volume: 21 start-page: 103 issue: 1 year: 2014 ident: 10.1016/j.asoc.2015.09.050_bib0120 article-title: Using iterated local search for solving the flow-shop problem: parallelization, parametrization, and randomization issues publication-title: Int. Trans. Oper. Res. doi: 10.1111/itor.12028 – start-page: 321 year: 2002 ident: 10.1016/j.asoc.2015.09.050_bib0155 article-title: Iterated local search – volume: 30 start-page: 81 issue: 1/2 year: 1938 ident: 10.1016/j.asoc.2015.09.050_bib0140 article-title: A new measure of rank correlation publication-title: Biometrika doi: 10.2307/2332226 – year: 1993 ident: 10.1016/j.asoc.2015.09.050_bib0070 – start-page: 105 year: 2003 ident: 10.1016/j.asoc.2015.09.050_bib0195 article-title: A gentle introduction to memetic algorithms doi: 10.1007/0-306-48056-5_5 – start-page: 3132 year: 2006 ident: 10.1016/j.asoc.2015.09.050_bib0225 article-title: A comparative study of sampling methods in node histogram models with probabilistic model-building genetic algorithms – volume: 83 start-page: 892 issue: 403 year: 1988 ident: 10.1016/j.asoc.2015.09.050_bib0075 article-title: Multistage ranking models publication-title: J. Am. Stat. Assoc. doi: 10.1080/01621459.1988.10478679 – volume: 64 start-page: 28 issue: 1 year: 2012 ident: 10.1016/j.asoc.2015.09.050_bib0010 article-title: Experiments with Kemeny ranking: what works when? publication-title: Math. Soc. Sci. doi: 10.1016/j.mathsocsci.2011.08.008 – volume: 175 start-page: 367 issue: 1 year: 2010 ident: 10.1016/j.asoc.2015.09.050_bib0105 article-title: Variable neighbourhood search: methods and applications publication-title: Ann. Oper. Res. doi: 10.1007/s10479-009-0657-6 – year: 2002 ident: 10.1016/j.asoc.2015.09.050_bib0085 – volume: 10 start-page: 243 issue: 1 year: 1999 ident: 10.1016/j.asoc.2015.09.050_bib0040 article-title: Learning to order things publication-title: J. Artif. Intell. Res. doi: 10.1613/jair.587 – start-page: 479 year: 2012 ident: 10.1016/j.asoc.2015.09.050_bib0235 article-title: A flexible generative model for preference aggregation – volume: 18 start-page: 286 issue: 2 year: 2014 ident: 10.1016/j.asoc.2015.09.050_bib0025 article-title: A distance-based ranking model estimation of distribution algorithm for the flowshop scheduling problem publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2013.2260548 – volume: 7 start-page: 1 year: 2006 ident: 10.1016/j.asoc.2015.09.050_bib0055 article-title: Statistical comparisons of classifiers over multiple data sets publication-title: J. Mach. Learn. Res. – start-page: 224 year: 2002 ident: 10.1016/j.asoc.2015.09.050_bib0220 article-title: Probabilistic model-building genetic algorithms in permutation representation domain using edge histogram – volume: 6 start-page: 65 year: 1979 ident: 10.1016/j.asoc.2015.09.050_bib0115 article-title: A simple sequentially rejective multiple test procedure publication-title: Scand. J. Stat. – volume: 5 start-page: 392 year: 2009 ident: 10.1016/j.asoc.2015.09.050_bib0165 article-title: Tractable search for learning exponential models of rankings publication-title: J. Mach. Learn. Res. Proc. Track – start-page: 583 year: 2003 ident: 10.1016/j.asoc.2015.09.050_bib0125 article-title: Nantonac collaborative filtering: recommendation based on order responses – year: 2014 ident: 10.1016/j.asoc.2015.09.050_bib0020 – year: 1992 ident: 10.1016/j.asoc.2015.09.050_bib0180 – volume: 60 start-page: 139 issue: 2 year: 1988 ident: 10.1016/j.asoc.2015.09.050_bib0080 article-title: An evolutionary approach to the traveling salesman problem publication-title: Biol. Cybern. doi: 10.1007/BF00202901 – year: 2001 ident: 10.1016/j.asoc.2015.09.050_bib0145 – volume: 48 start-page: 359 issue: 3 year: 1986 ident: 10.1016/j.asoc.2015.09.050_bib0065 article-title: Distance based ranking models publication-title: J. R. Stat. Soc. doi: 10.1111/j.2517-6161.1986.tb01420.x – year: 1962 ident: 10.1016/j.asoc.2015.09.050_bib0135 – start-page: 332 year: 1991 ident: 10.1016/j.asoc.2015.09.050_bib0215 article-title: Schedule optimization using genetic algorithms – volume: 36 start-page: 129 issue: 1 year: 2009 ident: 10.1016/j.asoc.2015.09.050_bib0030 article-title: Content modeling using latent permutations publication-title: J. Artif. Intell. Res. doi: 10.1613/jair.2830 – volume: 9 start-page: 193 year: 1995 ident: 10.1016/j.asoc.2015.09.050_bib0190 article-title: Genetic algorithms, tournament selection, and the effects of noise publication-title: Complex Syst. – year: 1988 ident: 10.1016/j.asoc.2015.09.050_bib0060 – volume: 44 start-page: 114 issue: 1–2 year: 1957 ident: 10.1016/j.asoc.2015.09.050_bib0160 article-title: Non-null ranking models. I publication-title: Biometrika doi: 10.1093/biomet/44.1-2.114 – year: 1781 ident: 10.1016/j.asoc.2015.09.050_bib0015 article-title: Memoire sur les elections au scrutin |
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