A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems
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Alexander Mendiburu | José Antonio Lozano | Ekhine Irurozki | Josu Ceberio | J. A. Lozano | Josu Ceberio | Ekhine Irurozki | A. Mendiburu
[1] S. Tsutsui. Using Edge Histogram Models to Solve Permutation Problems with Probabilistic Model-Building Genetic Algorithms , 2012 .
[2] Pedro Larrañaga,et al. Towards a New Evolutionary Computation - Advances in the Estimation of Distribution Algorithms , 2006, Towards a New Evolutionary Computation.
[3] Marina Meila,et al. Tractable Search for Learning Exponential Models of Rankings , 2009, AISTATS.
[4] A. A. Zhigli︠a︡vskiĭ,et al. Theory of Global Random Search , 1991 .
[5] David E. Goldberg,et al. AllelesLociand the Traveling Salesman Problem , 1985, ICGA.
[6] Bassem Jarboui,et al. An estimation of distribution algorithm for minimizing the total flowtime in permutation flowshop scheduling problems , 2009, Comput. Oper. Res..
[7] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[8] Alexander Mendiburu,et al. Parallel EDAs to create multivariate calibration models for quantitative chemical applications , 2006, J. Parallel Distributed Comput..
[9] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[10] R. Plackett. The Analysis of Permutations , 1975 .
[11] Qingfu Zhang,et al. Combination of Guided Local Search and Estimation of Distribution Algorithm for Quadratic Assignment Problems , 2006 .
[12] Pedro Larrañaga,et al. Protein Folding in Simplified Models With Estimation of Distribution Algorithms , 2008, IEEE Transactions on Evolutionary Computation.
[13] José Antonio Lozano,et al. Scatter Search in software testing, comparison and collaboration with Estimation of Distribution Algorithms , 2006, Eur. J. Oper. Res..
[14] David E. Goldberg,et al. OMEGA - Ordering Messy GA: Solving Permutation Problems with the Fast Genetic Algorithm and Random Keys , 2000, GECCO.
[15] James C. Bean,et al. Genetic Algorithms and Random Keys for Sequencing and Optimization , 1994, INFORMS J. Comput..
[16] Isabelle Bloch,et al. Inexact graph matching by means of estimation of distribution algorithms , 2002, Pattern Recognit..
[17] Martin Pelikan,et al. Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence) , 2006 .
[18] Max Henrion,et al. Propagating uncertainty in bayesian networks by probabilistic logic sampling , 1986, UAI.
[19] Martin Pelikan,et al. Dependency trees, permutations, and quadratic assignment problem , 2007, GECCO '07.
[20] BayesiannetworksPedro,et al. Combinatorial optimization by learning and simulation of , 2000 .
[21] R. Duncan Luce,et al. Individual Choice Behavior , 1959 .
[22] Qingfu Zhang,et al. Estimation of Distribution Algorithm with 2-opt Local Search for the Quadratic Assignment Problem , 2006, Towards a New Evolutionary Computation.
[23] Jatinder N. D. Gupta,et al. Flowshop scheduling research after five decades , 2006, Eur. J. Oper. Res..
[24] Pedro Larrañaga,et al. Solving the Traveling Salesman Problem with EDAs , 2002, Estimation of Distribution Algorithms.
[25] Shih-Hsin Chen,et al. Bi-variate artificial chromosomes with genetic algorithm for single machine scheduling problems with sequence-dependent setup times , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[26] Mitsunori Miki,et al. SOLVING FLOW SHOP SCHEDULING PROBLEMS WITH PROBABILISTIC MODEL-BUILDING GENETIC ALGORITHMS USING EDGE HISTOGRAMS , 2002 .
[27] Paul A. Viola,et al. MIMIC: Finding Optima by Estimating Probability Densities , 1996, NIPS.
[28] David E. Goldberg,et al. Node Histogram vs . Edge Histogram : A Comparison of PMBGAs in Permutation Domains , 2006 .
[29] David E. Goldberg,et al. Hierarchical Problem Solving and the Bayesian Optimization Algorithm , 2000, GECCO.
[30] Francisco Herrera,et al. A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization , 2009, J. Heuristics.
[31] Shigeyoshi Tsutsui. Effect of using partial solutions in edge histogram sampling algorithms with different local searches , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.
[32] Maria E. Orlowska,et al. Finding the Optimal Path in 3D Spaces Using EDAs - The Wireless Sensor Networks Scenario , 2007, ICANNGA.
[33] Zizhuo Wang,et al. Parimutuel Betting on Permutations , 2008, WINE.
[34] John Guiver,et al. Bayesian inference for Plackett-Luce ranking models , 2009, ICML '09.
[35] David E. Goldberg,et al. Alleles, loci and the traveling salesman problem , 1985 .
[36] Pedro Larrañaga,et al. Triangulation of Bayesian networks with recursive estimation of distribution algorithms , 2009, Int. J. Approx. Reason..
[37] C. N. Liu,et al. Approximating discrete probability distributions with dependence trees , 1968, IEEE Trans. Inf. Theory.
[38] J. A. Lozano,et al. Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing) , 2006 .
[39] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[40] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[41] David E. Goldberg,et al. A Survey of Optimization by Building and Using Probabilistic Models , 2002, Comput. Optim. Appl..
[42] Alexander Mendiburu,et al. Parallel implementation of EDAs based on probabilistic graphical models , 2005, IEEE Transactions on Evolutionary Computation.
[43] Dirk Thierens,et al. Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA , 2000, PPSN.
[44] Martin Pelikan,et al. Scalable Optimization via Probabilistic Modeling , 2006, Studies in Computational Intelligence.
[45] A. K. Ziver,et al. Estimation of distribution algorithms for nuclear reactor fuel management optimisation , 2006 .
[46] Shigeyoshi Tsutsui. Probabilistic Model-Building Genetic Algorithms in Permutation Representation Domain Using Edge Histogram , 2002, PPSN.
[47] S. García,et al. An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons , 2008 .
[48] Pedro Larrañaga,et al. Optimization in Continuous Domains by Learning and Simulation of Gaussian Networks , 2000 .
[49] S. Tsutsui,et al. Solving capacitated vehicle routing problems using edge histogram based sampling algorithms , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[50] Yoram Singer,et al. Learning to Order Things , 1997, NIPS.
[51] C. L. Mallows. NON-NULL RANKING MODELS. I , 1957 .
[52] Liang Gao,et al. A hybrid particle swarm optimization with estimation of distribution algorithm for solving permutation flowshop scheduling problem , 2011, Expert Syst. Appl..
[53] Dirk Thierens,et al. Crossing the road to efficient IDEAs for permutation problems , 2001 .
[54] Shigeyoshi Tsutsui,et al. A Comparative Study of Sampling Methods in Node Histogram Models with Probabilistic Model-Building Genetic Algorithms , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.
[55] M. Fligner,et al. Distance Based Ranking Models , 1986 .
[56] Pedro Larrañaga,et al. Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.
[57] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[58] Martin Pelikan,et al. An application of a multivariate estimation of distribution algorithm to cancer chemotherapy , 2008, GECCO '08.
[59] D. Hunter. MM algorithms for generalized Bradley-Terry models , 2003 .
[60] Yi Mao,et al. Non-parametric Modeling of Partially Ranked Data , 2007, NIPS.
[61] T. Koopmans,et al. Assignment Problems and the Location of Economic Activities , 1957 .