{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T13:31:59Z","timestamp":1751549519928},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,6]]},"DOI":"10.1109\/cec.2011.5949692","type":"proceedings-article","created":{"date-parts":[[2011,7,20]],"date-time":"2011-07-20T20:51:24Z","timestamp":1311195084000},"page":"736-743","source":"Crossref","is-referenced-by-count":1,"title":["A two-population evolutionary algorithm for feature extraction: Combining filter and wrapper"],"prefix":"10.1109","author":[{"given":"Eun Yeong","family":"Ahn","sequence":"first","affiliation":[]},{"given":"Tracy","family":"Mullen","sequence":"additional","affiliation":[]},{"given":"John","family":"Yen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"A Tutorial on Principal Component Analysis UCSD","year":"2005","author":"shlens","key":"ref10"},{"journal-title":"Evolutionary Computation A Unified Approach","year":"0","author":"dejong","key":"ref11"},{"key":"ref12","first-page":"359","article-title":"Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning","author":"hall","year":"0","journal-title":"Proc of the Seventeenth International Conference on Macine Learning"},{"key":"ref13","first-page":"235","article-title":"Feature Selection for Machine Learning: Comparing a Correlation-based Filter Approach and the Wrapper","author":"hall","year":"0","journal-title":"Proceedings of the International Florida Artificial Intelligence Research Society Conference"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/4235.850656"},{"key":"ref16","first-page":"147","article-title":"A Hybrid Approach to Feature Selection and Generation Using an Evolutionary Algorithm","author":"ritthoff","year":"0","journal-title":"Proc of the 2002 U K Workshop on Computational Intelligence"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2006.03.022"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009868929893"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/int.20103"},{"journal-title":"Theory of Psychological Measurement","year":"1964","author":"ghiselli","key":"ref4"},{"key":"ref27","first-page":"2121","article-title":"Genetic Algorithm Optimized Feature Transformation -A Comparison with Different Classifiers","author":"huang","year":"0","journal-title":"Genetic and Evolutionary Computation"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1830761.1830862"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.12.156"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1099-1492(199806\/08)11:4\/5<217::AID-NBM512>3.0.CO;2-4"},{"journal-title":"Genetic Programming II Automatic Discovery of Resuable Programs","year":"0","author":"koza","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.01.006"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2011.5949647"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-28356-0_5"},{"journal-title":"UCI Repository of Machine Learning Databases Irvine CA","year":"0","author":"blake","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1569901.1570051"},{"journal-title":"The Elements of Statistical Learning Data Mining Inference and Prediction","year":"2009","author":"hastie","key":"ref22"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1887\/0750308958","author":"b\u00e4ck d","year":"1997","journal-title":"Handbook of Evolutionary Computation"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8655(89)90037-8"},{"key":"ref23","article-title":"Multi-interval discretisation of continuous-valued attributes","author":"fayyad","year":"0","journal-title":"Thirteenth International Joint Conference on Artificial Intelligence"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/evco.2009.17.1.89"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1390817.1390822"}],"event":{"name":"2011 IEEE Congress on Evolutionary Computation (CEC)","start":{"date-parts":[[2011,6,5]]},"location":"New Orleans, LA, USA","end":{"date-parts":[[2011,6,8]]}},"container-title":["2011 IEEE Congress of Evolutionary Computation (CEC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/5936494\/5949581\/05949692.pdf?arnumber=5949692","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,20]],"date-time":"2017-06-20T03:25:54Z","timestamp":1497929154000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/5949692\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,6]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/cec.2011.5949692","relation":{},"subject":[],"published":{"date-parts":[[2011,6]]}}}