{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T15:34:09Z","timestamp":1725896049287},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642353796"},{"type":"electronic","value":"9783642353802"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-35380-2_84","type":"book-chapter","created":{"date-parts":[[2012,12,15]],"date-time":"2012-12-15T00:00:04Z","timestamp":1355529604000},"page":"721-728","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of Emergent Selection Pressure in Evolutionary Algorithm and Machine Learner Offspring Filtering Hybrids"],"prefix":"10.1007","author":[{"given":"Mark","family":"Coletti","sequence":"first","affiliation":[]},{"given":"Guido","family":"Cervone","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"26","key":"84_CR1","doi-asserted-by":"publisher","first-page":"4497","DOI":"10.1016\/j.atmosenv.2011.04.054","volume":"45","author":"G. Cervone","year":"2011","unstructured":"Cervone, G., Franzese, P.: Non-Darwinian Evolution for the Source Detection of Atmospheric Releases. Atmospheric Environment\u00a045(26), 4497\u20134506 (2011)","journal-title":"Atmospheric Environment"},{"issue":"2","key":"84_CR2","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1002\/wics.78","volume":"2","author":"G. Cervone","year":"2010","unstructured":"Cervone, G., Franzese, P., Keesee, A.P.K.: Algorithm quasi-optimal (AQ) learning. Wiley Interdisciplinary Reviews: Computational Statistics\u00a02(2), 218\u2013236 (2010)","journal-title":"Wiley Interdisciplinary Reviews: Computational Statistics"},{"doi-asserted-by":"crossref","unstructured":"Lattner, A.D., Cervone, G.: Ensemble modeling of transport and dispersion simulations guided by machine learning hypotheses generation. Computers & Geosciences (2012)","key":"84_CR3","DOI":"10.1016\/j.cageo.2012.01.017"},{"key":"84_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/BFb0014816","volume-title":"Evolutionary Programming VI","author":"M. Sebag","year":"1997","unstructured":"Sebag, M., Schoenauer, M., Ravise, C.: Inductive Learning of Mutation Step-Size in Evolutionary Parameter Optimization. In: Angeline, P.J., McDonnell, J.R., Reynolds, R.G., Eberhart, R. (eds.) EP 1997. LNCS, vol.\u00a01213, pp. 247\u2013261. Springer, Heidelberg (1997)"},{"doi-asserted-by":"crossref","unstructured":"Sheri, G., Corne, D.W.: The simplest evolution\/learning hybrid: LEM with KNN. In: IEEE Congress on Evolutionary Computation, CEC 2008, pp. 3244\u20133251 (June 2008); IEEE World Congress on Computational Intelligence","key":"84_CR5","DOI":"10.1109\/CEC.2008.4631237"},{"key":"84_CR6","volume-title":"Evolutionary Computation: A Unified Approach","author":"K. Jong De","year":"2006","unstructured":"De Jong, K.: Evolutionary Computation: A Unified Approach. The MIT Press, Cambridge (2006)"},{"doi-asserted-by":"crossref","unstructured":"Coletti, M.: The Effects of Training Set Size and Keeping Rules on the Emergent Selection Pressure of Learnable Evolution Model. In: Genetic and Evolutionary Computing Conference Proceedings (2012)","key":"84_CR7","DOI":"10.1145\/2330784.2331016"},{"doi-asserted-by":"crossref","unstructured":"Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA Data Mining Software: An Update. SIGKDD Explorations\u00a011(1) (2009); Weka Machine Learning Project","key":"84_CR8","DOI":"10.1145\/1656274.1656278"},{"doi-asserted-by":"crossref","unstructured":"Cohen, W.W.: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, pp. 115\u2013123 (1995)","key":"84_CR9","DOI":"10.1016\/B978-1-55860-377-6.50023-2"},{"unstructured":"Quinlan, J.R.: C4.5, Programs for Machine Learning. Morgan Kaufmann Publishers (1993)","key":"84_CR10"},{"unstructured":"Luke, S., Panait, L., Balan, G., Paus, S., Skolicki, Z., Popovici, E., Sullivan, K., Harrison, J., Bassett, J., Hubley, R., O\u2019Beirne, J.: ECJ, \n                  \n                    http:\/\/cs.gmu.edu\/~eclab\/projects\/ecj\/","key":"84_CR11"}],"container-title":["Lecture Notes in Computer Science","Swarm, Evolutionary, and Memetic Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-35380-2_84","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,10]],"date-time":"2019-05-10T00:21:33Z","timestamp":1557447693000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-35380-2_84"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642353796","9783642353802"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-35380-2_84","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}