{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T06:39:25Z","timestamp":1725518365715},"publisher-location":"Berlin, Heidelberg","reference-count":19,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540850670"},{"type":"electronic","value":"9783540850687"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-85068-7_4","type":"book-chapter","created":{"date-parts":[[2008,9,9]],"date-time":"2008-09-09T22:33:14Z","timestamp":1220999594000},"page":"61-86","source":"Crossref","is-referenced-by-count":4,"title":["Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems"],"prefix":"10.1007","author":[{"given":"Minqiang","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David E.","family":"Goldberg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kumara","family":"Sastry","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tian-Li","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"4_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"840","DOI":"10.1007\/978-3-540-24854-5_86","volume-title":"Genetic and Evolutionary Computation \u2013 GECCO 2004","author":"C.W. Ahn","year":"2004","unstructured":"Ahn, C.W., Ramakrishna, R.S., Goldberg, D.E.: Real-coded Bayesian optimization algorithm: Bringing the strength of BOA into the continuous world. In: Deb, K., et al. (eds.) GECCO 2004. LNCS, vol.\u00a03102, pp. 840\u2013851. Springer, Heidelberg (2004)"},{"key":"4_CR2","volume-title":"An introduction to multivariate statistics","author":"T.W. Anderson","year":"2003","unstructured":"Anderson, T.W.: An introduction to multivariate statistics, 3rd edn. Wiley, New York (2003)","edition":"3"},{"unstructured":"Baluja, S.: Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning. Technique Report, No. CMU-CS-94-163, Carnegie Mellon University, PA: Pittsburgh (1994)","key":"4_CR3"},{"unstructured":"Bosman, P.A.N.: Design and application of iterated density-estimation evolutionary algorithms. Ph.D. thesis, Universiteit Utrecht, Utrecht, The Netherlands (2003)","key":"4_CR4"},{"key":"4_CR5","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 estimating probability densities. In: Mozer, M.C., Jordan, M.I., Petsche, T. (eds.) Advances in Neural Information Processing Systems, vol.\u00a09, pp. 424\u2013430. MIT Press, Cambridge (1997)"},{"key":"4_CR6","first-page":"226","volume-title":"Proceedings of KDD 1996","author":"M. Ester","year":"1996","unstructured":"Ester, M., Kriegel, H.-P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Simoudis, E., Han, J.W., Fayyad, U.M. (eds.) Proceedings of KDD 1996, pp. 226\u2013231. AAAI Press, Menlo Park (1996)"},{"key":"4_CR7","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3643-4","volume-title":"Design of innovation: lessons from and for competent genetic algorithms","author":"D.E. Goldberg","year":"2002","unstructured":"Goldberg, D.E.: Design of innovation: lessons from and for competent genetic algorithms. Kluwer Academic Publishers, Boston (2002)"},{"key":"4_CR8","volume-title":"Data mining: concepts and techniques","author":"J. Han","year":"2006","unstructured":"Han, J., Kamber, M.: Data mining: concepts and techniques, 2nd edn. Morgan Kaufmann Publishers, Los Altos (2006)","edition":"2"},{"unstructured":"Harik, G.: Linkage learning via probabilistic modeling in the ECGA. University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL, IlliGAL Report No. 99010 (1999)","key":"4_CR9"},{"key":"4_CR10","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-1539-5","volume-title":"Estimation of distribution algorithms, a new tool for evolutionary computation","author":"P. Larranaga","year":"2002","unstructured":"Larranaga, P., Lozano, J.A.: Estimation of distribution algorithms, a new tool for evolutionary computation. Kluwer Academic Publishers, Boston (2002)"},{"key":"4_CR11","volume-title":"Information theory, inference, and learning algorithms","author":"D.J.C. MacKay","year":"2003","unstructured":"MacKay, D.J.C.: Information theory, inference, and learning algorithms. Cambridge University Press, Cambridge (2003)"},{"issue":"3","key":"4_CR12","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1162\/evco.1997.5.3.303","volume":"5","author":"H. M\u00fchlenbein","year":"1997","unstructured":"M\u00fchlenbein, H.: The equation for response to selection and its use for prediction. Evolutionary Computation\u00a05(3), 303\u2013346 (1997)","journal-title":"Evolutionary Computation"},{"doi-asserted-by":"crossref","unstructured":"Paul, T.K., Iba, H.: Real-coded estimation of distribution algorithm. In: Ibaraki, T., Yoshitomi, Y. (eds.) Proceedings of the Fifth Metaheuristics International Conference (MIC 2003), Kyoto, Japan, August 25\u201328 (2003)","key":"4_CR13","DOI":"10.1007\/3-540-45110-2_2"},{"unstructured":"Pelikan, M.: Bayesian optimization algorithm: From single level to hierarchy. A dissertation from the University of Illinois at Urbana-Champaign, Urbana, IL, IlliGAL Report No 2002023 (2002)","key":"4_CR14"},{"key":"4_CR15","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. Pelikan","year":"1999","unstructured":"Pelikan, M., M\u00fchlenbein, H.: The bivariate marginal distribution algorithm. In: Roy, R., Furuhashi, T., Chawdhry, P.K. (eds.) Advances in Soft Computing: Engineering Design and Manufacturing, pp. 521\u2013535. Springer, Heidelberg (1999)"},{"issue":"1","key":"4_CR16","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1013500812258","volume":"21","author":"M. Pelikan","year":"2002","unstructured":"Pelikan, M., Goldberg, D.E., Lobo, F.: A survey of optimization by building and using probabilistic models. Computational Optimization and Applications, 21(1), pp. 5\u201320 (Also IlliGAL Report No. 99018) (2002)","journal-title":"Computational Optimization and Applications"},{"doi-asserted-by":"crossref","unstructured":"Pelikan, M., Goldberg, D.E., Cant\u00fa-Paz, E.: Linkage problem, distribution estimation, and Bayesian networks. Evolutionary Computation, 8(3), pp. 311\u2013340 (Also IlliGAL Report No. 98013) (1998)","key":"4_CR17","DOI":"10.1162\/106365600750078808"},{"key":"4_CR18","first-page":"73","volume-title":"Proceedings of the 5th International Conference on Artificial Evolution","author":"S. Tsutsui","year":"2001","unstructured":"Tsutsui, S., Goldberg, D.E., Sastry, K.: Linkage learning in real-coded GAs with simplex crossover. In: Collet, P., et al. (eds.) Proceedings of the 5th International Conference on Artificial Evolution, pp. 73\u201384. Springer, Heidelberg (2001)"},{"doi-asserted-by":"crossref","unstructured":"Yu, T.-L., Goldberg, D.E., Yassine, A., Chen, Y.-P.: A genetic algorithm design inspired by organizational theory: a pilot study of a dependency structure matrix driven genetic algorithm. In: Dagli, C.H., et al. (eds) Proceedings of ANNIE 2003, vol. 13, pp. 327\u2013332. ASME Press, New York (Also IlliGAL Report No. 2003007) (2003)","key":"4_CR19","DOI":"10.1007\/3-540-45110-2_54"}],"container-title":["Studies in Computational Intelligence","Linkage in Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-85068-7_4.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T21:21:29Z","timestamp":1606166489000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-85068-7_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540850670","9783540850687"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-85068-7_4","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[]}}