{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T06:39:26Z","timestamp":1725518366447},"publisher-location":"Berlin, Heidelberg","reference-count":22,"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_10","type":"book-chapter","created":{"date-parts":[[2008,9,9]],"date-time":"2008-09-09T22:33:14Z","timestamp":1220999594000},"page":"225-248","source":"Crossref","is-referenced-by-count":2,"title":["A Clustering-Based Approach for Linkage Learning Applied to Multimodal Optimization"],"prefix":"10.1007","author":[{"given":"Leonardo","family":"Emmendorfer","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aurora","family":"Pozo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"10_CR1","volume-title":"Adaptation in natural and artificial systems","author":"J.H. Holland","year":"1975","unstructured":"Holland, J.H.: Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor (1975)"},{"key":"10_CR2","unstructured":"Mahfoud, S.W.: Niching methods for genetic algorithms, Doctoral dissertation, University of Illinois at Urbana-Champaign, Urbana, USA (1995)"},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Pelikan, M., Goldberg, D.E.: Genetic algorithms, clustering, and the breaking of symmetry. In: Parallel Problem Solving from Nature, vol.\u00a0VI, pp. 385\u2013394 (2000)","DOI":"10.1007\/3-540-45356-3_38"},{"key":"10_CR4","unstructured":"McQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the fifth Berkley symposium on Mathematics, Statistics and Probability, pp. 281\u2013296 (1967)"},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"Emmendorfer, L., Pozo, A.: An empirical evaluation of linkage learning strategies for multimodal optimization. In: Proceedings of IEEE Congress on Evolutionary Computation (CEC), pp. 326\u2013333 (2007)","DOI":"10.1109\/CEC.2007.4424489"},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"Sastry, K., Abbass, H.A., Goldberg, D.E., Johnson, D.D.: Sub-structural niching in estimation of distribution algorithms. In: GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, pp. 671\u2013678 (2005)","DOI":"10.1145\/1068009.1068123"},{"key":"10_CR7","unstructured":"Petrowski, A.: A new selection operator dedicated to speciation. In: Proceedings of the 7th International Conference on Genetic Algorithms, pp. 144\u2013451 (1997)"},{"key":"10_CR8","doi-asserted-by":"crossref","unstructured":"Emmendorfer, L., Pozo, A.: An incremental approach for niching and building block detection via clustering. In: Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, pp. 303\u2013308 (2007)","DOI":"10.1109\/ISDA.2007.84"},{"key":"10_CR9","unstructured":"Pelikan, M., Goldberg, D.E., Cantu-Paz, E.: BOA: The Bayesian optimization algorithm. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), pp. 525\u2013532 (1999)"},{"issue":"1","key":"10_CR10","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1162\/1063656053583432","volume":"13","author":"J.M. Pe\u00f1a","year":"2005","unstructured":"Pe\u00f1a, J.M., Lozano, J.A., Larra\u00f1aga, P.: Globally multimodal problem optimization via an estimation of distribution algorithm based on unsupervised learning of bayesian networks. Evolutionary Compututation\u00a013(1), 43\u201366 (2005)","journal-title":"Evolutionary Compututation"},{"key":"10_CR11","first-page":"493","volume":"3","author":"D.E. Goldberg","year":"1989","unstructured":"Goldberg, D.E., Korb, G., Deb, G.: Messy genetic algorithms: Motivation, analysis and first results. Complex Systems\u00a03, 493\u2013530 (1989)","journal-title":"Complex Systems"},{"key":"10_CR12","volume-title":"Statistical Genomics: Linkage, Mapping, and QTL Analysis","author":"B. Liu","year":"1998","unstructured":"Liu, B.: Statistical Genomics: Linkage, Mapping, and QTL Analysis. CRC Press, Boca Raton (1998)"},{"key":"10_CR13","unstructured":"Harik, G.R.: Learning gene linkage to efficiently solve problems of bounded difficulty using genetic algorithms. PhD thesis, University of Michigan (1997)"},{"key":"10_CR14","doi-asserted-by":"crossref","unstructured":"Jakulin, A., Bratko, I.: Testing the significance of attribute interactions. In: ICML 2004: Proceedings of the twenty-first international conference on Machine learning, pp. 409\u2013416 (2004)","DOI":"10.1145\/1015330.1015377"},{"key":"10_CR15","volume-title":"Perceptrons: An Introduction to Computational Geometry","author":"M. Minsky","year":"1969","unstructured":"Minsky, M., Papert, S.: Perceptrons: An Introduction to Computational Geometry. MIT Press, Cambridge (1969)"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Baluja, S., Caruana, R.: Removing the genetics from the standard genetic algorithm. In: International Conference on Machine Learning, pp. 38\u201346 (1995)","DOI":"10.1016\/B978-1-55860-377-6.50014-1"},{"key":"10_CR17","unstructured":"Friedman, N., Goldszmidt, M., Koller, D.: The Bayesian Structural EM algorithm. In: Fourteenth Conference on Uncertainty in Artificial Intelligence, pp. 129\u2013138 (1998)"},{"key":"10_CR18","unstructured":"Hocaoglu, C., Sanderson, A.C.: Evolutionary speciation using minimal representation size clustering. In: Evolutionary Programming, pp. 187\u2013203 (1995)"},{"key":"10_CR19","doi-asserted-by":"publisher","first-page":"119","DOI":"10.2307\/2685469","volume":"58","author":"A. Agresti","year":"1998","unstructured":"Agresti, A., Coull, B.: Approximate is better than exact for interval estimation of binomial proportions. The American Statistician\u00a058, 119\u2013126 (1998)","journal-title":"The American Statistician"},{"key":"10_CR20","doi-asserted-by":"crossref","unstructured":"Watson, R.A., Hornby, G., Pollack, J.B.: Modeling building-block interdependency. In: PPSN V: Proceedings of the 5th International Conference on Parallel Problem Solving from Nature, pp. 97\u2013108 (1998)","DOI":"10.1007\/BFb0056853"},{"key":"10_CR21","doi-asserted-by":"crossref","unstructured":"Emmendorfer, L., Pozo, A.: Effective linkage learning using low-order statistics and clustering. In: IEEE Transactions on Evolutionary Computation (accepted)","DOI":"10.1109\/TEVC.2009.2025455"},{"key":"10_CR22","doi-asserted-by":"crossref","unstructured":"Coffin, D.J., Smith, R.E.: The limitations of distribution sampling for linkage learning. In: Proceedings of IEEE Congress on Evolutionary Computation (CEC), pp. 364\u2013369 (2007)","DOI":"10.1109\/CEC.2007.4424494"}],"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_10.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T07:39:20Z","timestamp":1619509160000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-85068-7_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540850670","9783540850687"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-85068-7_10","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[]}}