乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T19:52:02Z","timestamp":1725825122328},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319202938"},{"type":"electronic","value":"9783319202945"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"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":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-20294-5_37","type":"book-chapter","created":{"date-parts":[[2015,7,15]],"date-time":"2015-07-15T13:54:03Z","timestamp":1436968443000},"page":"421-431","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Neighbourhood Based Hybrid Genetic Search Model for Feature Selection"],"prefix":"10.1007","author":[{"given":"Sunanda","family":"Das","sequence":"first","affiliation":[]},{"given":"Arka","family":"Ghosh","sequence":"additional","affiliation":[]},{"given":"Asit Kumar","family":"Das","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,7,16]]},"reference":[{"issue":"12","key":"37_CR1","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/S0004-3702(97)00063-5","volume":"97","author":"A Blum","year":"1997","unstructured":"Blum, A., Langley, P.: Selection of relevant features and examples in machine learning. Artif. Intell. 97(12), 245\u2013271 (1997)","journal-title":"Artif. Intell."},{"issue":"12","key":"37_CR2","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/S0004-3702(97)00043-X","volume":"97","author":"R Kohavi","year":"1997","unstructured":"Kohavi, R., John, G.: Wrappers for feature subset selection. Artif. Intell. 97(12), 273\u2013324 (1997)","journal-title":"Artif. Intell."},{"issue":"3","key":"37_CR3","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1109\/TPAMI.2003.1182100","volume":"25","author":"JG Dy","year":"2003","unstructured":"Dy, J.G., Brodley, C.E., Kak, A.L., Broderick, S., Aisen, A.M.: Unsupervised feature selection applied to content-based retrieval of lung images. IEEE Trans. Pattern Anal. Mach. Intell. 25(3), 373\u2013378 (2003)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"37_CR4","first-page":"1205","volume":"5","author":"L Yu","year":"2004","unstructured":"Yu, L., Huan, L.: Efficient feature selection via analysis of relevance and redundancy. J. Mach. Learn. Res. 5, 1205\u20131224 (2004)","journal-title":"J. Mach. Learn. Res."},{"key":"37_CR5","volume-title":"New Optimization Techniques in Engineering Goldberg. Studies in fuzziness and Soft Computing","author":"GC Onwubolu","year":"2004","unstructured":"Onwubolu, G.C., Babu, B.V.: New Optimization Techniques in Engineering Goldberg. Studies in fuzziness and Soft Computing. Springer, New York (2004)"},{"key":"37_CR6","doi-asserted-by":"crossref","unstructured":"Dorigo, M., ed.: Ant colony optimization and swarm intelligence. In: 5th International Workshop, ANTS 2006, vol. 4150 (2006)","DOI":"10.1007\/11839088"},{"issue":"3","key":"37_CR7","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1287\/ijoc.1.3.190","volume":"1","author":"F Glover","year":"1989","unstructured":"Glover, F.: Tabu search-part I. ORSA J. Comput. 1(3), 190\u2013206 (1989)","journal-title":"ORSA J. Comput."},{"key":"37_CR8","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S Kirkpatrick","year":"1983","unstructured":"Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220, 661\u2013680 (1983)","journal-title":"Science"},{"issue":"4","key":"37_CR9","doi-asserted-by":"publisher","first-page":"1817","DOI":"10.1016\/j.eswa.2007.08.088","volume":"35","author":"SW Lin","year":"2008","unstructured":"Lin, S.W., Ying, K.C., Chen, S.C., Lee, Z.J.: Particle swarm optimization for parameter determination and feature selection of support vector machines. Expert Syst. Appl. 35(4), 1817\u20131824 (2008)","journal-title":"Expert Syst. Appl."},{"issue":"2","key":"37_CR10","first-page":"51","volume":"2","author":"RM Ramadan","year":"2009","unstructured":"Ramadan, R.M., Abdel-Kader, R.F.: Face recognition using particle swarm optimization-based selected features. Int. J. Signal Process. Image Process. Pattern Recogn. 2(2), 51\u201365 (2009)","journal-title":"Int. J. Signal Process. Image Process. Pattern Recogn."},{"issue":"4","key":"37_CR11","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1016\/j.patrec.2006.09.003","volume":"28","author":"X Wang","year":"2007","unstructured":"Wang, X., Yang, J., Teng, X., Xia, W., Jensen, R.: Feature selection based on rough sets and particle swarm optimization. Pattern Recogn. Lett. 28(4), 459\u2013471 (2007)","journal-title":"Pattern Recogn. Lett."},{"issue":"5","key":"37_CR12","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1021\/jm0104668","volume":"45","author":"DK Agrafiotis","year":"2002","unstructured":"Agrafiotis, D.K., Cedeno, W.: Feature selection for structure-activity correlation using binary particle swarms. J. Med. Chem. 45(5), 1098\u20131107 (2002)","journal-title":"J. Med. Chem."},{"issue":"1","key":"37_CR13","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.compbiolchem.2007.09.005","volume":"32","author":"LY Chuang","year":"2008","unstructured":"Chuang, L.Y., Chang, H.W., Tu, C.J., Yang, C.H.: Improved binary PSO for feature selection using gene expression data. Comput. Biol. Chem. 32(1), 29\u201338 (2008)","journal-title":"Comput. Biol. Chem."},{"issue":"4","key":"37_CR14","doi-asserted-by":"publisher","first-page":"1381","DOI":"10.1016\/j.asoc.2007.10.007","volume":"8","author":"CL Huang","year":"2008","unstructured":"Huang, C.L., Dun, J.F.: A distributed PSO\u2013SVM hybrid system with feature selection and parameter optimization. Appl. Soft Comput. 8(4), 1381\u20131391 (2008)","journal-title":"Appl. Soft Comput."},{"key":"37_CR15","unstructured":"Xiao, X., Dow, E.R., Eberhart, R., Miled, Z.B., Oppelt, R.J.: Gene clustering using self-organizing maps and particle swarm optimization. In: Parallel and Distributed Processing Symposium, vol. 10. IEEE (2003)"},{"issue":"3","key":"37_CR16","doi-asserted-by":"publisher","first-page":"4610","DOI":"10.1016\/j.eswa.2008.05.017","volume":"36","author":"W Pedrycz","year":"2009","unstructured":"Pedrycz, W., Park, B.-J., Pizzi, N.J.: Identifying core sets of discriminatory features using particle swarm optimization. Expert Syst. Appl. 36(3), 4610\u20134616 (2009)","journal-title":"Expert Syst. Appl."},{"key":"37_CR17","unstructured":"Knowles, J.D., Corne, D.W.: M-PAES: A memetic algorithm for multiobjective optimization. Evolutionary Computation. In: Proceedings of the 2000 Congress, vol. 1. IEEE (2000)"},{"issue":"2","key":"37_CR18","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1023\/A:1022602019183","volume":"3","author":"DE Goldberg","year":"1988","unstructured":"Goldberg, D.E., Holland, J.H.: Genetic algorithms and machine learning. Mach. Learn. 3(2), 95\u201399 (1988)","journal-title":"Mach. Learn."},{"issue":"2","key":"37_CR19","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., et al.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182\u2013197 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"37_CR20","volume-title":"Evolutionary Algorithms for Solving Multi-objective Problems","author":"CAC Coello","year":"2007","unstructured":"Coello, C.A.C., Lamont, G.B., van Veldhuisen, D.A.: Evolutionary Algorithms for Solving Multi-objective Problems. Springer, Berlin (2007)"},{"volume-title":"Local Search in Combinatorial Optimization","year":"2003","key":"37_CR21","unstructured":"Aarts, E.H.L., Lenstra, J.K. (eds.): Local Search in Combinatorial Optimization. Princeton University Press, Princeton (2003)"},{"issue":"2","key":"37_CR22","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.compind.2004.06.006","volume":"56","author":"KW Kim","year":"2005","unstructured":"Kim, K.W., Yun, Y.S., Yoon, J.M., Gen, M., Yamazaki, G.: Hybrid genetic algorithm with adaptive abilities for resource constrained multiple project scheduling. Comput. Ind. 56(2), 143\u2013160 (2005)","journal-title":"Comput. Ind."},{"key":"37_CR23","doi-asserted-by":"publisher","first-page":"2035","DOI":"10.1016\/j.eswa.2013.09.002","volume":"41","author":"CAD Diaz","year":"2014","unstructured":"Diaz, C.A.D., Muro, A.G., P\u00e9rez, R.B., Morales, E.V.: A hybrid model of genetic algorithm with local search to discover linguistic data summaries from creep data. Expert Syst. Appl. 41, 2035\u20132042 (2014)","journal-title":"Expert Syst. Appl."},{"issue":"3","key":"37_CR24","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1109\/5326.704576","volume":"28","author":"H Ishibuchi","year":"1998","unstructured":"Ishibuchi, H., Murata, T.: A multi-objective genetic local search algorithm and its application to flowshop scheduling. IEEE Trans. Syst. Man Cybern. 28(3), 392\u2013403 (1998)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"3","key":"37_CR25","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1068\/b37018","volume":"38","author":"S Sharma","year":"2011","unstructured":"Sharma, S., Mathew, T.V.: Multiobjective network design for emission and travel-time trade-off for a sustainable large urban transportation network. Environ. Plann. B Plann. Des. 38(3), 520\u2013538 (2011)","journal-title":"Environ. Plann. B Plann. Des."},{"key":"37_CR26","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1111\/j.2517-6161.1969.tb00796.x","volume":"31","author":"JB Ramsey","year":"1969","unstructured":"Ramsey, J.B.: Tests for specification errors in classical linear least square regression analysis. J. Royal Stat. Soc. Ser. B (Methodol.) 31, 350\u2013371 (1969)","journal-title":"J. Royal Stat. Soc. Ser. B (Methodol.)"},{"key":"37_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1007\/978-3-319-03756-1_13","volume-title":"Swarm, Evolutionary, and Memetic Computing","author":"SK Pati","year":"2013","unstructured":"Pati, S.K., Das, A.K., Ghosh, A.: Gene selection using multi-objective genetic algorithm integrating cellular automata and rough set theory. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds.) SEMCCO 2013, Part II. LNCS, vol. 8298, pp. 144\u2013155. Springer, Heidelberg (2013)"},{"issue":"3","key":"37_CR28","doi-asserted-by":"publisher","first-page":"1060","DOI":"10.1109\/18.841186","volume":"46","author":"GH Norton","year":"2000","unstructured":"Norton, G.H., Salagean, A.: On the hamming distance of linear codes over a finite chain ring. IEEE Trans. Inf. Theory 46(3), 1060\u20131067 (2000)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"1","key":"37_CR29","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/S0004-3702(03)00079-1","volume":"151","author":"M Dash","year":"2003","unstructured":"Dash, M., Liu, H.: Consistency-based search in feature selection. Artif. Intell. 151(1), 155\u2013176 (2003)","journal-title":"Artif. Intell."},{"key":"37_CR30","unstructured":"Hall, M.A.: Correlation-based feature selection for machine learning. Diss. The University of Waikato (1999)"},{"key":"37_CR31","first-page":"760","volume-title":"Encyclopedia of Machine Learning","author":"J Kennedy","year":"2010","unstructured":"Kennedy, J.: Particle swarm optimization. In: Sammut, C., Webb, G.I. (eds.) Encyclopedia of Machine Learning, pp. 760\u2013766. Springer, US, London (2010)"},{"issue":"1","key":"37_CR32","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1656274.1656278","volume":"11","author":"M Hall","year":"2009","unstructured":"Hall, M., et al.: The WEKA data mining software: an update. ACM SIGKDD Explor. Newsl. 11(1), 10\u201318 (2009)","journal-title":"ACM SIGKDD Explor. Newsl."},{"key":"37_CR33","doi-asserted-by":"crossref","unstructured":"Albukhanajer, W.A., Jin, Y., Briffa, J.A.: Neural network ensembles for image identification using pareto-optimal features. In: IEEE Congress on Evolutionary Computation CEC (2014)","DOI":"10.1109\/CEC.2014.6900349"}],"container-title":["Lecture Notes in Computer Science","Swarm, Evolutionary, and Memetic Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-20294-5_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,10]],"date-time":"2024-06-10T00:20:46Z","timestamp":1717978846000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-20294-5_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319202938","9783319202945"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-20294-5_37","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"16 July 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}