{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T15:49:17Z","timestamp":1744904957053,"version":"3.38.0"},"publisher-location":"Boston, MA","reference-count":38,"publisher":"Springer US","isbn-type":[{"type":"print","value":"9781461356042"},{"type":"electronic","value":"9781461515395"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2002]]},"DOI":"10.1007\/978-1-4615-1539-5_4","type":"book-chapter","created":{"date-parts":[[2011,8,12]],"date-time":"2011-08-12T08:27:30Z","timestamp":1313137650000},"page":"101-127","source":"Crossref","is-referenced-by-count":4,"title":["Benefits of Data Clustering in Multimodal Function Optimization via EDAs"],"prefix":"10.1007","author":[{"given":"J. M.","family":"Pe\u00f1a","sequence":"first","affiliation":[]},{"given":"J. A.","family":"Lozano","sequence":"additional","affiliation":[]},{"given":"P.","family":"Larra\u00f1aga","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"4_CR1","volume-title":"Cluster Analysis for Applications. Academic Press. Buntine, W. (1991). Theory refinement in Bayesian networks. In Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence, pages 52-60. Morgan Kaufmann, Inc.","author":"MR Anderberg","year":"1973","unstructured":"Anderberg, M. R. (1973). Cluster Analysis for Applications. Academic Press. Buntine, W. (1991). Theory refinement in Bayesian networks. In Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence, pages 52\u201360. Morgan Kaufmann, Inc."},{"key":"4_CR2","volume-title":"DGA: An efficient genetic algorithm. InProceedings of the European Conference on Artificial Intelligence 199.4, pages 487-492. John Wiley & Sons, Inc.","author":"P Collard","year":"1994","unstructured":"Collard, P. and Aurand, J. P. (1994). DGA: An efficient genetic algorithm. In Proceedings of the European Conference on Artificial Intelligence 199.4, pages 487\u2013492. John Wiley & Sons, Inc."},{"key":"4_CR3","volume-title":"An analysis of the behavior of a class of genetic adaptive systems","author":"KA Jong De","year":"1975","unstructured":"De Jong, K. A. (1975). An analysis of the behavior of a class of genetic adaptive systems. Doctoral Dissertation. University of Michigan."},{"key":"4_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A Dempster","year":"1977","unstructured":"Dempster, A., Laird, N., and Rubin, D. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society B, 39:1\u201338.","journal-title":"Journal of the Royal Statistical Society B"},{"key":"4_CR5","first-page":"768","volume":"21","author":"E Forgy","year":"1965","unstructured":"Forgy, E. (1965). Cluster analysis of multivariate data: Efficiency vs. interpretability of classifications. Biometrics,21:768.","journal-title":"Biometrics"},{"key":"4_CR6","first-page":"129","volume-title":"Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence","author":"N Friedman","year":"1998","unstructured":"Friedman, N. (1998). The Bayesian Structural EM algorithm. In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, pages 129\u2013138. Morgan Kaufmann, Inc."},{"key":"4_CR7","first-page":"1277","volume-title":"Proceedings of the Thirteenth National Conference on Artificial Intelligence","author":"N Friedman","year":"1996","unstructured":"Friedman, N. and Goldszmidt, M. (1996). Building classifiers using Bayesian networks. In Proceedings of the Thirteenth National Conference on Artificial Intelligence, pages 1277\u20131284. AAAI Press."},{"key":"4_CR8","first-page":"840","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference","author":"M Gallagher","year":"1999","unstructured":"Gallagher, M., Frean, M., and Downs, T. (1999). Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator. In Proceedings of the Genetic and Evolutionary Computation Conference 1999, pages 840\u2013846."},{"key":"4_CR9","volume-title":"Learning Gaussian Networks. In Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, pages 235-243.","author":"D Geiger","year":"1995","unstructured":"Geiger, D. and Heckerman, D. (1995). Learning Gaussian Networks. In Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, pages 235\u2013243."},{"key":"4_CR10","volume-title":"Clustering Algorithms","author":"JA Hartigan","year":"1975","unstructured":"Hartigan, J. A. (1975). Clustering Algorithms. John Wiley & Sons, Inc."},{"key":"4_CR11","volume-title":"Evolutionary speciation using minimal representation size clustering. In Evolutionary Programming IV: Proceedings of the Fourth Annual Conference on Evolutionary Programming, pages 187-203. MIT Press","author":"C Hocaoglu","year":"1995","unstructured":"Hocaoglu, C. and Sanderson, A. C. (1995). Evolutionary speciation using minimal representation size clustering. In Evolutionary Programming IV: Proceedings of the Fourth Annual Conference on Evolutionary Programming, pages 187\u2013203. MIT Press."},{"issue":"1","key":"4_CR12","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1162\/evco.1997.5.1.81","volume":"5","author":"C Hocaoglu","year":"1997","unstructured":"Hocaoglu, C. and Sanderson, A. C. (1997). Multimodal Function Optimization Using Minimal Representation Size Clustering and Its Applications to Planning Multipaths. Evolutionary Computation, 5(1):81\u2013104.","journal-title":"Evolutionary Computation"},{"key":"4_CR13","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316801","volume-title":"Finding Groups in Data","author":"L Kaufman","year":"1990","unstructured":"Kaufman, L. and Rousseeuw, P. (1990). Finding Groups in Data. John Wiley & Sons, Inc."},{"key":"4_CR14","first-page":"343","volume-title":"Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence","author":"P Larra\u00f1aga","year":"2000","unstructured":"Larra\u00f1aga, P., Etxeberria, R., Lozano, J. A., and Pe\u00f1a, J. M. (2000a). Combinatorial optimization by learning and simulation of Bayesian networks. In Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence, pages 343\u2013352. Morgan Kaufmann, Inc."},{"key":"4_CR15","first-page":"201","volume-title":"Genetic and Evolutionary Computation Conference 2000. Proceedings of the Program Workshops","author":"P Larra\u00f1aga","year":"2000","unstructured":"Larra\u00f1aga, P., Etxeberria, R., Lozano, J. A., and Pe\u00f1a, J. M. (2000b). Optimization in continuous domains by learning and simulation of Gaussian networks. In Genetic and Evolutionary Computation Conference 2000. Proceedings of the Program Workshops, pages 201\u2013204. Morgan Kaufmann, Inc."},{"issue":"420","key":"4_CR16","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1080\/01621459.1992.10476265","volume":"87","author":"SL Lauritzen","year":"1992","unstructured":"Lauritzen, S. L. (1992). Propagation of probabilities, means and variances in mixed graphical association models. Journal of the American Statistical Association, 87(420):1098\u20131108.","journal-title":"Journal of the American Statistical Association"},{"key":"4_CR17","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198522195.001.0001","volume-title":"Graphical Models. Clarendon Press","author":"SL Lauritzen","year":"1996","unstructured":"Lauritzen, S. L. (1996). Graphical Models. Clarendon Press."},{"key":"4_CR18","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1214\/aos\/1176347003","volume":"17","author":"SL Lauritzen","year":"1989","unstructured":"Lauritzen, S. L. and Wermuth, N. (1989). Graphical models for associations between variables, some of which are qualitative and some quantitative. The Annals of Statistics, 17:31\u201357.","journal-title":"The Annals of Statistics"},{"key":"4_CR19","volume-title":"The EM Algorithm and Extensions","author":"GJ McLachlan","year":"1997","unstructured":"McLachlan, G. J. and Krishnan, T. (1997). The EM Algorithm and Extensions. John Wiley & Sons, Inc."},{"key":"4_CR20","volume-title":"Learning with Mixtures of Trees","author":"M Meil\u00e1","year":"1999","unstructured":"Meil\u00e1, M. (1999). Learning with Mixtures of Trees. Doctoral Dissertation. Massachusetts Institute of Technology."},{"key":"4_CR21","first-page":"584","volume":"10","author":"M Meil\u00e1","year":"1998","unstructured":"Meil\u00e1, M. and Jordan, M. I. (1998). Estimating dependency structure as a hidden variable. Neural Information Processing Systems, 10:584\u2013590.","journal-title":"Neural Information Processing Systems"},{"key":"4_CR22","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1162\/evco.1997.5.3.303","volume":"5","author":"H M\u00fchlenbein","year":"1998","unstructured":"M\u00fchlenbein, H. (1998). The Equation for Response to Selection and its Use for Prediction. Evolutionary Computation, 5:303\u2013346.","journal-title":"Evolutionary Computation"},{"key":"4_CR23","volume-title":"The Effect of Spin-Flip Symmetry on the Performance of the Simple GA. In Proceedings of Parallel Problem Solving 126 Estimation of Distribution Algorithms from Nature V, pages 67-76. Springer-Verlag. Lectures Notes in Computer Science.","author":"B Naudts","year":"1998","unstructured":"Naudts, B. and Naudts, J. (1998). The Effect of Spin-Flip Symmetry on the Performance of the Simple GA. In Proceedings of Parallel Problem Solving 126 Estimation of Distribution Algorithms from Nature V, pages 67\u201376. Springer-Verlag. Lectures Notes in Computer Science."},{"key":"4_CR24","volume-title":"Probabilistic Reasoning in Intelligent Systems","author":"J Pearl","year":"1988","unstructured":"Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann, Inc."},{"key":"4_CR25","first-page":"385","volume-title":"Genetic Algorithms, Clustering, and the Breaking of Symmetry. In Proceedings of Parallel Problem Solving from Nature VISpringer-Verlag. Lectures Notes in Computer Science","author":"M Pelikan","year":"2000","unstructured":"Pelikan, M. and Goldberg, D. E. (2000). Genetic Algorithms, Clustering, and the Breaking of Symmetry. In Proceedings of Parallel Problem Solving from Nature VI, pages 385\u2013394. Springer-Verlag. Lectures Notes in Computer Science."},{"key":"4_CR26","first-page":"2000020","volume-title":"Bayesian Optimization Algorithm, Decision Graphs, and Occam\u2019s Razor","author":"M Pelikan","year":"2000","unstructured":"Pelikan, M., Goldberg, D. E., and Sastry, K. (2000). Bayesian Optimization Algorithm, Decision Graphs, and Occam\u2019s Razor. Technical Report Il1iGAL No. 2000020, Illinois."},{"issue":"11-13","key":"4_CR27","doi-asserted-by":"publisher","first-page":"1219","DOI":"10.1016\/S0167-8655(99)00089-6","volume":"20","author":"JM Pe\u00f1a","year":"1999","unstructured":"Pe\u00f1a, J. M., Lozano, J. A., and Larra\u00f1aga, P. (1999). Learning Bayesian networks for clustering by means of constructive induction. Pattern Recognition Letters, 20(11\u201313):1219\u20131230.","journal-title":"Pattern Recognition Letters"},{"issue":"8","key":"4_CR28","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1016\/S0167-8655(00)00038-6","volume":"21","author":"JM Pe\u00f1a","year":"2000","unstructured":"Pe\u00f1a, J. M., Lozano, J. A., and Larra\u00f1aga, P. (2000). An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering. Pattern Recognition Letters, 21(8):779\u2013786.","journal-title":"Pattern Recognition Letters"},{"key":"4_CR29","first-page":"266","volume-title":"Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics","author":"JM Pe\u00f1a","year":"2001","unstructured":"Pe\u00f1a, J. M., Lozano, J. A., and Larra\u00f1aga, P. (2001a). Geographical Clustering of Cancer Incidence by Means of Bayesian Networks and Conditional Gaussian Networks. In Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, pages 266\u2013271. Morgan Kaufmann, Inc."},{"key":"4_CR30","volume-title":"Learning conditional Gaussian networks for data clustering via edge exclusion tests. Submitted","author":"JM Pe\u00f1a","year":"2001","unstructured":"Pe\u00f1a, J. M., Lozano, J. A., and Larra\u00f1aga, P. (2001b). Learning conditional Gaussian networks for data clustering via edge exclusion tests. Submitted."},{"key":"4_CR31","volume-title":"Learning recursive Bayesian multinets for data clustering by means of constructive induction","author":"JM Pe\u00f1a","year":"2001","unstructured":"Pe\u00f1a, J. M., Lozano, J. A., and Larra\u00f1aga, P. (2001c). Learning recursive Bayesian multinets for data clustering by means of constructive induction. Machine Learning, In press."},{"key":"4_CR32","volume-title":"Performance evaluation of compromise conditional Gaussian networks for data clustering","author":"JM Pe\u00f1a","year":"2001","unstructured":"Pe\u00f1a, J. M., Lozano, J. A., and Larra\u00f1aga, P. (2001d). Performance evaluation of compromise conditional Gaussian networks for data clustering. International Journal of Approximate Reasoning, In press."},{"issue":"2","key":"4_CR33","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"7","author":"G Schwarz","year":"1978","unstructured":"Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 7(2):461\u2013464.","journal-title":"The Annals of Statistics"},{"key":"4_CR34","volume-title":"Experimental study: Hypergraph partitioning based on the simple and advanced algorithms BMDA and BOA. In Proceedings of the Fifth International Conference on Soft Computing, pages 124-130","author":"J Schwarz","year":"1999","unstructured":"Schwarz, J. and Ocenasek, J. (1999). Experimental study: Hypergraph partitioning based on the simple and advanced algorithms BMDA and BOA. In Proceedings of the Fifth International Conference on Soft Computing, pages 124\u2013130."},{"key":"4_CR35","volume-title":"Model inference and pattern discovery by minimal representation method","author":"J Segen","year":"1981","unstructured":"Segen, J. and Sanderson, A. C. (1981). Model inference and pattern discovery by minimal representation method. Technical Report CMU-RI-TR-82\u20132, Carnegie Mellon University."},{"key":"4_CR36","first-page":"504","volume-title":"Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence","author":"B Thiesson","year":"1998","unstructured":"Thiesson, B., Meek, C., Chickering, D. M., and Heckerman, D. (1998). Learning Mixtures of DAG Models. In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, pages 504\u2013513. Morgan Kaufmann, Inc."},{"key":"4_CR37","volume-title":"Detecting Spin-flip Symmetry in Optimization Problems. Theoretical Aspects of Evolutionary Computing","author":"C Hoyweghen van","year":"2000","unstructured":"van Hoyweghen, C. (2000). Detecting Spin-flip Symmetry in Optimization Problems. Theoretical Aspects of Evolutionary Computing."},{"key":"4_CR38","volume-title":"Symmetry in the Search Space. In Proceedings of the Conference on Evolutionary Computation 2000, pages 1072-1079. IEEE Press","author":"C Hoyweghen","year":"2000","unstructured":"van Hoyweghen, C. and Naudts, B. (2000). Symmetry in the Search Space. In Proceedings of the Conference on Evolutionary Computation 2000, pages 1072\u20131079. IEEE Press."}],"container-title":["Genetic Algorithms and Evolutionary Computation","Estimation of Distribution Algorithms"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-4615-1539-5_4.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,8]],"date-time":"2025-03-08T15:12:55Z","timestamp":1741446775000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-1-4615-1539-5_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002]]},"ISBN":["9781461356042","9781461515395"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-1-4615-1539-5_4","relation":{},"ISSN":["1568-2587"],"issn-type":[{"type":"print","value":"1568-2587"}],"subject":[],"published":{"date-parts":[[2002]]}}}