{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:13:32Z","timestamp":1740158012941,"version":"3.37.3"},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,8,21]],"date-time":"2017-08-21T00:00:00Z","timestamp":1503273600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,8,21]],"date-time":"2017-08-21T00:00:00Z","timestamp":1503273600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1007\/s12652-017-0563-8","type":"journal-article","created":{"date-parts":[[2017,8,21]],"date-time":"2017-08-21T11:39:07Z","timestamp":1503315547000},"page":"1261-1275","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Optimization of classification algorithm based on gene expression programming"],"prefix":"10.1007","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1632-5910","authenticated-orcid":false,"given":"Lei","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kangshun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wensheng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liefeng","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenxu","family":"Ke","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Qi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,8,21]]},"reference":[{"key":"563_CR1","doi-asserted-by":"crossref","unstructured":"Bartczuk \u0141 (2016) Gene expression programming in correction modelling of nonlinear dynamic objects. In: Information systems architecture and technology: proceedings of 36th international conference on information systems architecture and technology\u2013ISAT 2015\u2013Part I. Springer, Switzerland, pp 125\u2013134","DOI":"10.1007\/978-3-319-28555-9_11"},{"key":"563_CR2","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1016\/j.energy.2015.12.021","volume":"95","author":"P Dey","year":"2016","unstructured":"Dey P, Das AK (2016) A utilization of GEP (gene expression programming) metamodel and PSO (particle swarm optimization) tool to predict and optimize the forced convection around a cylinder. Energy 95:447\u2013458","journal-title":"Energy"},{"issue":"2","key":"563_CR3","first-page":"87","volume":"21","author":"C Ferreira","year":"2001","unstructured":"Ferreira C (2001) Gene expression programming: a new adaptive algorithm for solving problems. Comput Sci 21(2):87\u2013129","journal-title":"Comput Sci"},{"key":"563_CR4","volume-title":"Data mining: concepts and techniques","author":"JW Han","year":"2012","unstructured":"Han JW, Kamber M, Pei J (2012) Data mining: concepts and techniques, 3rd edn. Elsevier, Singapore","edition":"3rd"},{"issue":"2","key":"563_CR5","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/BF02985802","volume":"27","author":"T Hastie","year":"2005","unstructured":"Hastie T, Tibshirani R, Friedman J (2005) The elements of statistical learning: data mining, inference and prediction. Math Intell 27(2):83\u201385","journal-title":"Math Intell"},{"issue":"2","key":"563_CR6","first-page":"305","volume":"30","author":"JJ Hu","year":"2007","unstructured":"Hu JJ, Tang CJ, Duan L et al (2007) The diversification strategy of the initial population of gene expression programming. J comput 30(2):305\u2013310","journal-title":"J comput"},{"key":"563_CR7","unstructured":"Jin DD (2014) Research and application of gene expression programming classification algorithm based on particle swarm optimization. Dissertation, Zhejiang University of Technology"},{"key":"563_CR8","unstructured":"Kotsiantis SB (2007) Supervised machine learning: a review of classification techniques. Conference on emerging artificial intelligence applications in computer engineering: real word AI systems with applications in eHealth, HCI, information retrieval and pervasive technologies, IOS Press, pp\u00a03\u201324"},{"key":"563_CR9","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.procs.2014.08.093","volume":"35","author":"CH Lee","year":"2014","unstructured":"Lee CH, Yang CB, Chen HH (2014) Taiwan stock investment with gene expression programming. Procedia Comput Sci 35:137\u2013146","journal-title":"Procedia Comput Sci"},{"issue":"2","key":"563_CR10","first-page":"279","volume":"39","author":"TY Li","year":"2010","unstructured":"Li TY, Tang CJ, Wu J et al (2010) Adaptive control algorithm for population diversity in gene expression programming. J Univ Electron Sci Technol 39(2):279\u2013283","journal-title":"J Univ Electron Sci Technol"},{"issue":"6","key":"563_CR11","first-page":"727","volume":"42","author":"HY Liu","year":"2002","unstructured":"Liu HY, Chen J, Chen GQ (2002) A survey of data classification algorithms in data mining. J Tsinghua Univ 42(6):727\u2013730","journal-title":"J Tsinghua Univ"},{"issue":"1","key":"563_CR12","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.econmod.2015.12.014","volume":"54","author":"MM Mostafa","year":"2016","unstructured":"Mostafa MM, El-Masry AA (2016) Oil price forecasting using gene expression programming and artificial neural network. Econ Model 54(1):40\u201353","journal-title":"Econ Model"},{"key":"563_CR13","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.cie.2014.05.010","volume":"74","author":"SM Mousavi","year":"2014","unstructured":"Mousavi SM, Mostafavi ES, Hosseinpour F (2014) Gene expression programming as a basis for new generation of electricity demand prediction models. Comput Ind Eng 74:120\u2013128","journal-title":"Comput Ind Eng"},{"issue":"6","key":"563_CR14","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1111\/mice.12125","volume":"30","author":"S Rashidi","year":"2015","unstructured":"Rashidi S, Ranjitkar P (2015) Bus dwell time modeling using gene expression programming. Comput Aided Civ Infrastruct Eng 30(6):478\u2013489","journal-title":"Comput Aided Civ Infrastruct Eng"},{"issue":"10","key":"563_CR15","first-page":"2358","volume":"27","author":"CJ Tang","year":"2007","unstructured":"Tang CJ, Chen Y, Zhang H et al (2007) Formula discovery based on transgenosis modified GEP. Comput Appl 27(10):2358\u20132360","journal-title":"Comput Appl"},{"key":"563_CR16","doi-asserted-by":"publisher","first-page":"568","DOI":"10.1016\/j.neucom.2016.05.038","volume":"207","author":"ZL Yang","year":"2016","unstructured":"Yang ZL, Chen YM, Tang ZC, Wang JP (2016) Surface EMG based handgrip force predictions using gene expression programming. Neurocomputing 207:568\u2013579","journal-title":"Neurocomputing"},{"key":"563_CR17","unstructured":"Yuan CA (2006) Research on Key Technologies of intelligent model base based on GEP function. Dissertation, Sichuan University"},{"key":"563_CR18","volume-title":"Gene expression programming algorithm principle and application","author":"CA Yuan","year":"2010","unstructured":"Yuan CA, Peng YZ, Qin X (2010) Gene expression programming algorithm principle and application. Science Press, Beijing"},{"key":"563_CR19","unstructured":"Zhang H (2006) Research on key technology of transgene in gene expression programming. Dissertation, Sichuan University"},{"issue":"2","key":"563_CR20","first-page":"299","volume":"43","author":"YX Zhong","year":"2006","unstructured":"Zhong YX, Tang CJ, Chen Y et al (2006) A retrospective strategy to improve the efficiency of gene expression programming discovery knowledge. J Sichuan Univ 43(2):299\u2013304","journal-title":"J Sichuan Univ"},{"issue":"1","key":"563_CR21","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1109\/TEVC.2015.2424410","volume":"20","author":"JH Zhong","year":"2016","unstructured":"Zhong JH, Ong YS, Cai WT (2016) Self-Learning gene expression programming. IEEE Trans Evol Comput 20(1):65\u201380","journal-title":"IEEE Trans Evol Comput"},{"key":"563_CR22","unstructured":"Zhou Q (2014) Research on classification and clustering based on gene expression programming. Dissertation, Shandong Normal University"},{"key":"563_CR23","unstructured":"Zhou C, Nelson PC, Xiao W et al (2002) Discovery of classification rules by using gene expression programming. In: Proc. of the 2002 Int. Conf. on artificial intelligence (IC-AI\u201902), Las Vegas, pp\u00a01355\u20131361"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-017-0563-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-017-0563-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-017-0563-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T16:25:26Z","timestamp":1709223926000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-017-0563-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,21]]},"references-count":23,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,2]]}},"alternative-id":["563"],"URL":"https:\/\/doi.org\/10.1007\/s12652-017-0563-8","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"type":"print","value":"1868-5137"},{"type":"electronic","value":"1868-5145"}],"subject":[],"published":{"date-parts":[[2017,8,21]]},"assertion":[{"value":"19 June 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 August 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 August 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}