{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T08:24:15Z","timestamp":1774599855558,"version":"3.50.1"},"publisher-location":"New York, NY","reference-count":22,"publisher":"Springer New York","isbn-type":[{"value":"9780387947365","type":"print"},{"value":"9781461224044","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1996]]},"DOI":"10.1007\/978-1-4612-2404-4_16","type":"book-chapter","created":{"date-parts":[[2011,9,17]],"date-time":"2011-09-17T18:43:54Z","timestamp":1316285034000},"page":"165-174","source":"Crossref","is-referenced-by-count":14,"title":["Structure Learning of Bayesian Networks by Hybrid Genetic Algorithms"],"prefix":"10.1007","author":[{"given":"Pedro","family":"Larra\u00f1aga","sequence":"first","affiliation":[]},{"given":"Roberto","family":"Murga","sequence":"additional","affiliation":[]},{"given":"Mikel","family":"Poza","sequence":"additional","affiliation":[]},{"given":"Cindy","family":"Kuijpers","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"16_CR1","first-page":"256","volume":"247","author":"IA Beinlich","year":"1989","unstructured":"Beinlich, I.A., Suermondt, H.J., Chavez, R.M., & Cooper, G.F. (1989). The ALARM monitoring system: A case study with two probabilistic inferences techniques for belief networks. Proceedings of the Second European Conference on Artificial Intelligence in Medicine (pp. 247\u2013256 ).","journal-title":"Proceedings of the Second European Conference on Artificial Intelligence in Medicine"},{"key":"16_CR2","volume-title":"Springer-Verlag","author":"RR Bouckaert","year":"1993","unstructured":"Bouckaert, R.R. (1993). Probabilistic network construction using the minimum description length principle. In M. Clarke, R. Kruse & S. Moral (Eds.) Symbolic and Quantitative Approaches to Reasoning and Uncertainty \u2014 ECSQARU-93, No. 747, Lectures Notes in Computing Science, pp. 41\u201348, Springer-Verlag."},{"key":"16_CR3","first-page":"102","volume-title":"Properties of Bayesian belief network learning algorithms.Uncertainty in Artificial Intelligence,Tenth Annual Conference","author":"RR Bouckaert","year":"1994","unstructured":"Bouckaert, R.R. (1994). Properties of Bayesian belief network learning algorithms. Uncertainty in Artificial Intelligence, Tenth Annual Conference (pp. 102\u2013109 ). San Francisco, CA: Morgan Kaufmann."},{"key":"16_CR4","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/0020-0190(93)90027-7","volume":"46","author":"UK Chakraborty","year":"1993","unstructured":"Chakraborty, U.K., & Dastidar, D.G. (1993). Using reliability analysis to estimate the number of generations to convergence in genetic algorithms. Information Processing Letters, 46, 199\u2013209.","journal-title":"Information Processing Letters"},{"key":"16_CR5","first-page":"128","volume":"112","author":"DM Chickering","year":"1995","unstructured":"Chickering, D.M., Geiger, D., & Heckerman, D. (1995). Learning Bayesian networks: Search methods and experimental results. Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics (pp. 112\u2013128 ).","journal-title":"Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics"},{"key":"16_CR6","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1109\/TIT.1968.1054142","volume":"14","author":"CK Chow","year":"1968","unstructured":"Chow, C.K., & Liu, C.N. (1968). Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory, 14, 462\u2013467.","journal-title":"IEEE Transactions on Information Theory"},{"key":"16_CR7","first-page":"309","volume":"9","author":"GF Cooper","year":"1992","unstructured":"Cooper, G.F., & Herskovits, E.H. (1992). A Bayesian method for the induction of probabilistic networks from data. Machine Learning, 9, 309\u2013347.","journal-title":"Machine Learning"},{"key":"16_CR8","volume-title":"Handbook of Genetic Algorithms","year":"1991","unstructured":"Davis, L. (Ed.) (1991). Handbook of Genetic Algorithms. New York: Van Nostrand Reinhold."},{"key":"16_CR9","unstructured":"Eiben, A.E., Aarts, E.H.L., & Van Hee, K.M. (1990). Global convergence of genetic algorithms: An infinite Markov chain analysis. Computing Science Notes, Eindhoven University of Technology, The Netherlands."},{"key":"16_CR10","first-page":"14","volume":"4","author":"LJ Fogel","year":"1962","unstructured":"Fogel, L.J. (1962). Atonomous automata. Ind. Res, 4, 14\u201319.","journal-title":"Ind. Res"},{"key":"16_CR11","first-page":"769","volume":"762","author":"RM Fung","year":"1990","unstructured":"Fung, R.M., & Crawford, S.L. (1990). CONSTRUCTOR: A system for the induction of probabilistic models. Proceedings of AAAI (pp. 762\u2013769).","journal-title":"Proceedings of AAAI"},{"key":"16_CR12","volume-title":"Genetic Algorithms in Search, Optimization and Machine Learning","author":"DE Goldberg","year":"1989","unstructured":"Goldberg, D.E. (1989). Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addison-Wesley."},{"key":"16_CR13","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/B978-0-444-70396-5.50019-4","volume-title":"Uncertainty in Artificial Intelligence","author":"M Henrion","year":"1988","unstructured":"Henrion, M. (1988). Propagating uncertainty in Bayesian networks by probabilistic logic sampling. In J. Lemmer & L. Kanal (Eds.) Uncertainty in Artificial Intelligence, 2, pp. 149\u2013163, North-Holland."},{"key":"16_CR14","volume-title":"Computer based probabilistic-network construction.Doctoral dissertation","author":"EH Herskovits","year":"1991","unstructured":"Herskovits, E. H. (1991). Computer based probabilistic-network construction. Doctoral dissertation, Medical Information Sciences, Stanford University."},{"key":"16_CR15","volume-title":"Kutat\u00f4: An entropy-driven system for construction of probabilistic expert systems from databases","author":"EH Herskovits","year":"1990","unstructured":"Herskovits, E. H., & Cooper, G.F. (1990). Kutat\u00f4: An entropy-driven system for construction of probabilistic expert systems from databases Report KSL-9022, Knowledge Systems Laboratory, Medical Computer Science, Stanford University."},{"key":"16_CR16","volume-title":"Adaptation in Natural and Artificial Systems","author":"JH Holland","year":"1975","unstructured":"Holland, J.H. (1975). Adaptation in Natural and Artificial Systems. The University of Michigan Press."},{"key":"16_CR17","first-page":"105","volume":"93","author":"SL Lauritzen","year":"1993","unstructured":"Lauritzen, S.L., Thiesson, B., & Spiegelhalter, D.J. (1993). Diagnostic systems created by model selection methods-A case study. Fourth International Workshop on Artificial Intelligence and Statistics (pp. 93\u2013105 ).","journal-title":"Fourth International Workshop on Artificial Intelligence and Statistics"},{"key":"16_CR18","volume-title":"Probabilistic Reasoning in Intelligent Systems","author":"J Pearl","year":"1988","unstructured":"Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems. San Mateo, CA: Morgan Kaufmann."},{"key":"16_CR19","first-page":"175","volume-title":"Uncertainty in Artificial Intelligence","author":"G Rebane","year":"1989","unstructured":"Rebane, G., & Pearl, J. (1989). The recovery of causal polytrees from statistical data. In L. Kanal, T. Levitt & J. Lemmer (Eds.) Uncertainty in Artificial Intelligence, 3, pp. 175\u2013182, North-Holland."},{"issue":"1","key":"16_CR20","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1109\/72.265964","volume":"5","author":"G Rudolph","year":"1994","unstructured":"Rudolph, G. (1994). Convergence analysis of canonical genetic algoritms. IEEE Transactions on Neural Networks, vol. 5, no. 1, 96\u2013101.","journal-title":"IEEE Transactions on Neural Networks"},{"key":"16_CR21","volume-title":"Numerische Optimierung von Computer-Modellen mittels der Evolutionsstrategie","author":"H-P Schwefel","year":"1967","unstructured":"Schwefel, H.-P. (1967). Numerische Optimierung von Computer-Modellen mittels der Evolutionsstrategie. Basel: Birkh\u00e4user."},{"key":"16_CR22","volume-title":"Efficient algorithms for probabilistic inference combinatorial optimization and the discovery of causal structure from data.Doctoral dissertation","author":"D Wedelin","year":"1993","unstructured":"Wedelin, D. (1993). Efficient algorithms for probabilistic inference combinatorial optimization and the discovery of causal structure from data. Doctoral dissertation, Chalmers University of Technology, G\u00f6teborg."}],"container-title":["Lecture Notes in Statistics","Learning from Data"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-4612-2404-4_16.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,30]],"date-time":"2021-04-30T21:13:03Z","timestamp":1619817183000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-1-4612-2404-4_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1996]]},"ISBN":["9780387947365","9781461224044"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-1-4612-2404-4_16","relation":{},"ISSN":["0930-0325"],"issn-type":[{"value":"0930-0325","type":"print"}],"subject":[],"published":{"date-parts":[[1996]]}}}