{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:22:23Z","timestamp":1761895343528},"publisher-location":"Berlin, Heidelberg","reference-count":21,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642238802"},{"type":"electronic","value":"9783642238819"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1007\/978-3-642-23881-9_81","type":"book-chapter","created":{"date-parts":[[2011,9,24]],"date-time":"2011-09-24T04:51:47Z","timestamp":1316839907000},"page":"634-643","source":"Crossref","is-referenced-by-count":1,"title":["A Multi-population Parallel Estimation of Distribution Algorithms Based on Clayton and Gumbel Copulas"],"prefix":"10.1007","author":[{"given":"Chunyan","family":"Chang","sequence":"first","affiliation":[]},{"given":"Lifang","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"2","key":"81_CR1","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1360\/aas-007-0113","volume":"33","author":"S.D. Zhou","year":"2007","unstructured":"Zhou, S.D., Sun, Z.Q.: A Survey on Estimation of Distribution Algorithms. Acta Automatica Sinica\u00a033(2), 114\u2013121 (2007)","journal-title":"Acta Automatica Sinica"},{"key":"81_CR2","unstructured":"Baluja, S.: Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning. Technical Rep. CMU-CS-94-163. Carnegie Mellon University, Pittsburgh, PA (1994)"},{"key":"81_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1007\/3-540-61723-X_982","volume-title":"Parallel Problem Solving from Nature - PPSN IV","author":"H. Muhlenbein","year":"1996","unstructured":"Muhlenbein, H., Paass, G.: From Recombination of Genes to the Estimation of distributions I. Binary Parameters. In: Ebeling, W., Rechenberg, I., Voigt, H.-M., Schwefel, H.-P. (eds.) PPSN 1996. LNCS, vol.\u00a01141, pp. 178\u2013187. Springer, Heidelberg (1996)"},{"key":"81_CR4","first-page":"424","volume-title":"Advances in Neural Information Processing Systems","author":"J.S. Bonet De","year":"1997","unstructured":"De Bonet, J.S., Isbell, C.L., Viola, P.: MIMIC: Finding Optima by Estimation Probability Densities. In: Advances in Neural Information Processing Systems, pp. 424\u2013430. MIT Press, Cambridge (1997)"},{"key":"81_CR5","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1007\/978-1-4471-0819-1_39","volume-title":"Advances in Soft Computing-Engineering Design and Manufacturing","author":"M. Pelican","year":"1999","unstructured":"Pelican, M., Muhlenbein, H.: The Bivariate Marginal Distribution Algorithm. In: Advances in Soft Computing-Engineering Design and Manufacturing, pp. 521\u2013535. Springer, London (1999)"},{"key":"81_CR6","unstructured":"Harik, G.: Linkage Learning via Probabilistic Modeling in the ECGA. Illigal Rep. No.99010, Illinois Genetic Algorithms Lab. University of Illinois, Urbana-Champaign, Illinois (1999)"},{"issue":"4","key":"81_CR7","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1162\/evco.1999.7.4.353","volume":"7","author":"H. Muhlenbein","year":"1999","unstructured":"Muhlenbein, H., Mahnig, T.: FDA- a Scalable evolutionary Algorithm for the Optimization of Additively Decomposed Functions. Evolutionary Computation\u00a07(4), 353\u2013376 (Winter 1999)","journal-title":"Evolutionary Computation"},{"key":"81_CR8","unstructured":"Pelikan, M., Goldberg, D.E., Cantu-Paz, E.: BOA: the Bayesian Optimization Algorithm. In: Proc. Genetic and Evolutionary Computation Conference (GECCO-1999), Orlando, FL, pp. 525\u2013532 (1999)"},{"key":"81_CR9","first-page":"201","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2000","author":"P. Larranaga","year":"2000","unstructured":"Larranaga, P., Etxeberria, R., Lozano, J.A., Pena, J.M.: Optimization in Continuous Domains by Learning and Simulation of Gaussian Networks. In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2000, Las Vegas, Nevada, USA, July 8-12, pp. 201\u2013204. Morgan Kaufmann, San Francisco (2000)"},{"key":"81_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1007\/BFb0056884","volume-title":"Parallel Problem Solving from Nature - PPSN V","author":"M. Sebag","year":"1998","unstructured":"Sebag, M., Ducoulombier, A.: Extending Population-Based Incremental Learning to Continuous Search Spaces. In: Eiben, A.E., B\u00e4ck, T., Schoenauer, M., Schwefel, H.-P. (eds.) PPSN 1998. LNCS, vol.\u00a01498, pp. 418\u2013427. Springer, Heidelberg (1998), http:\/\/citeseerx.ist.psu.edu\/viewdoc\/summary?doi=10.1.1.42.1884"},{"key":"81_CR11","unstructured":"Larranaga, P., Lozano, J.A., Bengoetxea, E.: Estimation of Distribution Algorithms based on Multivariate Normal a Gaussian Nerworks. Technical Report KZZA-IK-1-01. Department of Computer Science and Artificial Intelligence, University of the Basque Country (2001)"},{"key":"81_CR12","doi-asserted-by":"crossref","unstructured":"Wang, L.F., Zeng, J.C., Hong, Y.: Estimation of Distribution Algorithm Based on Archimedean Copulas. In: Proceedings of the First ACM\/SIGEVO Summit on Genetic and Evolutionary Computation (GECS 2009), Shanghai, China, June 12-14, pp. 993\u2013996 (2009)","DOI":"10.1145\/1543834.1543991"},{"key":"81_CR13","doi-asserted-by":"crossref","unstructured":"Wang, L.F., Zeng, J.C., Hong, Y.: Estimation of Distribution Algorithm Based on Copula Theory. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2009), Trondheim, Norway, May 18-21, pp. 1057\u20131063 (2009)","DOI":"10.1109\/CEC.2009.4983063"},{"key":"81_CR14","volume-title":"An introduction to copulas","author":"R.B. Nelsen","year":"2006","unstructured":"Nelsen, R.B.: An introduction to copulas, 2nd edn. Springer, New York (2006)","edition":"2"},{"key":"81_CR15","unstructured":"Cant\u00fa-Paz, E.: A Survey of Parallel Genetic Algorithms. Illinois Genetic Algorithms Laboratory, Urbana-Champaign (1996)"},{"key":"81_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-4369-5","volume-title":"Efficient and accurate parallel genetic algorithms","author":"E. Cant\u00fa-Paz","year":"2001","unstructured":"Cant\u00fa-Paz, E.: Efficient and accurate parallel genetic algorithms. Kluwer, Dordrecht (2001)"},{"key":"81_CR17","doi-asserted-by":"crossref","unstructured":"Wang, L., Guo, X., Zeng, J., Hong, Y.: Using Gumbel Copula and Empirical Marginal Distribution in Estimation of Distribution Algorithm. In: 2010 Third International Workshop on Advanced Computational Intelligence (IWACI 2010), Suzhou, China, August 25-27, pp. 583\u2013587 (2010); (EI:20104613386525)","DOI":"10.1109\/IWACI.2010.5585135"},{"key":"81_CR18","series-title":"CCIS","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1007\/978-3-642-15859-9_12","volume-title":"Life System Modeling and Intelligent Computing","author":"L. Wang","year":"2010","unstructured":"Wang, L., Wang, Y., Zeng, J., Hong, Y.: An estimation of distribution algorithm based on clayton copula and empirical margins. In: Li, K., Li, X., Ma, S., Irwin, G.W. (eds.) LSMS 2010, Part 1. CCIS, vol.\u00a098, pp. 82\u201388. Springer, Heidelberg (2010), doi:10.1007\/978-3-642-15859-9_12, (EI:20104513368882) 04"},{"key":"81_CR19","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1080\/01621459.1988.10478671","volume":"83","author":"A.W. Marshall","year":"1988","unstructured":"Marshall, A.W., Olkin, I.: Families of Multivariate Distributions. Journal of the American Statistical Association\u00a083, 834\u2013841 (1988)","journal-title":"Journal of the American Statistical Association"},{"key":"81_CR20","unstructured":"Melchiori, M.R.: Tools For Sampling Multivariate Archimedean Copulas. Yield Curve (April 2006), SSRN: http:\/\/ssrn.com\/abstract=1124682"},{"key":"81_CR21","doi-asserted-by":"publisher","first-page":"3000","DOI":"10.1016\/j.ins.2008.01.021","volume":"178","author":"W. Dong","year":"2008","unstructured":"Dong, W., Yao, X.: Unified Eigen Analysis On Multivariate Gaussian Based Estimation of Distribution Algorithms. Information Science\u00a0178, 3000\u20133023 (2008)","journal-title":"Information Science"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-23881-9_81","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T23:26:53Z","timestamp":1686353213000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-23881-9_81"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642238802","9783642238819"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-23881-9_81","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}