{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T09:14:49Z","timestamp":1726132489651},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030720681"},{"type":"electronic","value":"9783030720698"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-72069-8_10","type":"book-chapter","created":{"date-parts":[[2021,7,28]],"date-time":"2021-07-28T18:02:55Z","timestamp":1627495375000},"page":"171-184","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Automated Design of Classification Algorithms"],"prefix":"10.1007","author":[{"given":"Nelishia","family":"Pillay","sequence":"first","affiliation":[]},{"given":"Thambo","family":"Nyathi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,7,29]]},"reference":[{"issue":"6","key":"10_CR1","doi-asserted-by":"publisher","first-page":"873","DOI":"10.1109\/TEVC.2013.2291813","volume":"18","author":"RC Barros","year":"2018","unstructured":"R.C. Barros, M.P. Basgalupp, A. Freitas, A.C.P.L.F. de Carvalho, Evolutonary design of decision-tree algorithms tailored to microarray gene expression data sets. IEEE Trans. Evol. Comput. 18(6), 873\u2013892 (2018)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"R.C. Barros, A. de Carvalho, A. Freitas, Automatic Design of Decision-Tree Induction Algorithms (Springer, 2015)","DOI":"10.1007\/978-3-319-14231-9"},{"key":"10_CR3","unstructured":"D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning (Addison-Wesley, 1989)"},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"B. Komer, J. Bergstra, C. Eliasmith, Hyperopt-sklean, in Automated Machine Learning-Methods, Systems, Challenges (Springer, 2019)","DOI":"10.1007\/978-3-030-05318-5_5"},{"key":"10_CR5","unstructured":"J. Koza, Genetic Programming: On the Programming of Computers by Natural Selection (MIT Press, 1992)"},{"key":"10_CR6","unstructured":"T.\u00a0Nyathi, Automated Design of Genetic Programming Classification Algorithms using a Genetic Algorithm and Grammatical Evolution. PhD thesis, School of Mathematics, Statistics and Computer Science (2018)"},{"key":"10_CR7","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1016\/j.eswa.2018.03.030","volume":"104","author":"T Nyathi","year":"2018","unstructured":"T. Nyathi, N. Pillay, Comparison of a genetic algorithm to grammatical evolution for automated design of genetic programming classification algorithms. Expert Syst. Appl. 104, 213\u2013334 (2018)","journal-title":"Expert Syst. Appl."},{"key":"10_CR8","doi-asserted-by":"crossref","unstructured":"J.H. Olson, R.S. anf\u00a0Moore, Tpot: a tree-based pipeline optimiation tool for automating machine learning, in Automated Machine Learning-Methods, Systems, Challenges, ed. by F. Hutter, L. Kotthoff, J. Vanschoren (Springer, 2019)","DOI":"10.1007\/978-3-030-05318-5_8"},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"M. O\u2019Neill, C. Ryan, Grammatical Evolution-Evolutionary Automatic Programming in an Arbitrary Language (Kluwer Academic Publishers, 2003)","DOI":"10.1007\/978-1-4615-0447-4_2"},{"key":"10_CR10","doi-asserted-by":"crossref","unstructured":"N. Pillay, R. Qu, Hyper-Heuristics: Theory and Applications (Springer, 2018)","DOI":"10.1007\/978-3-319-96514-7"},{"key":"10_CR11","doi-asserted-by":"publisher","first-page":"10421","DOI":"10.1109\/ACCESS.2018.2801792","volume":"6","author":"NR Sabar","year":"2018","unstructured":"N.R. Sabar, X. Yi, A. Song, A bi-objective hyper-heuristic support vector machines for big data cyber-security. IEEE Access 6, 10421\u201310431 (2018)","journal-title":"IEEE Access"},{"key":"10_CR12","unstructured":"A.\u00a0Vella, Hyper-Heuristic Decision Tree Induction. PhD thesis, School of Mathematical and Computer Sciences, Herriot-Watt University (2012)"}],"container-title":["Natural Computing Series","Automated Design of Machine Learning and Search Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-72069-8_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,28]],"date-time":"2021-07-28T18:08:12Z","timestamp":1627495692000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-72069-8_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030720681","9783030720698"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-72069-8_10","relation":{},"ISSN":["1619-7127"],"issn-type":[{"type":"print","value":"1619-7127"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"29 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}