{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T18:38:09Z","timestamp":1777487889540,"version":"3.51.4"},"publisher-location":"Berlin, Heidelberg","reference-count":31,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642175626","type":"print"},{"value":"9783642175633","type":"electronic"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-17563-3_5","type":"book-chapter","created":{"date-parts":[[2010,12,3]],"date-time":"2010-12-03T20:50:50Z","timestamp":1291409450000},"page":"38-45","source":"Crossref","is-referenced-by-count":6,"title":["Differential Evolution Based Fuzzy Clustering"],"prefix":"10.1007","author":[{"given":"V.","family":"Ravi","sequence":"first","affiliation":[]},{"given":"Nupur","family":"Aggarwal","sequence":"additional","affiliation":[]},{"given":"Nikunj","family":"Chauhan","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"5","key":"5_CR1","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1142\/S0218488506004229","volume":"14","author":"V. Ravi","year":"2006","unstructured":"Ravi, V., Bin, M., Ravi Kumar, P.: Threshold Accepting based fuzzy clustering algorithms. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems\u00a014(5), 617\u2013632 (2006)","journal-title":"International Journal of Uncertainty, Fuzziness and Knowledge-based Systems"},{"key":"5_CR2","unstructured":"Bezdek, J.C.: Fuzzy Mathematics in Pattern Classification, Ph. D. thesis, Center for applied mathematics, Cornell University (1973)"},{"key":"5_CR3","unstructured":"Kuncheva, L.I., Bezdek, J.C.: Selection of cluster prototypes from data by a genetic algorithm. In: Proc. 5th European Congress on Intelligent Techniques and Soft Computing (EUFIT), Aachen, Germany, vol.\u00a018, pp. 1683\u20131688 (1997)"},{"key":"5_CR4","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1002\/(SICI)1099-128X(199607)10:4<325::AID-CEM431>3.0.CO;2-K","volume":"10","author":"L.-X. Sun","year":"1996","unstructured":"Sun, L.-X., Danzer, K.: Fuzzy cluster analysis by simulate annealing. Journal of Chemometrics\u00a010, 325\u2013342 (1996)","journal-title":"Journal of Chemometrics"},{"key":"5_CR5","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1093\/bioinformatics\/17.5.405","volume":"17","author":"V. Lukashin","year":"2001","unstructured":"Lukashin, V., Fuchs, R.: Analysis of temporal gene expression profiles: clustering by simulated annealing and determining the optimal number of clusters. Bioinformatics\u00a017, 405\u2013414 (2001)","journal-title":"Bioinformatics"},{"key":"5_CR6","doi-asserted-by":"publisher","first-page":"2193","DOI":"10.1016\/S0031-3203(01)00193-5","volume":"35","author":"N. Belacel","year":"2000","unstructured":"Belacel, N., Hansen, P., Mladenovic, N.: Fuzzy J-Means: A new heuristic for fuzzy clustering. Pattern Recognition\u00a035, 2193\u20132200 (2000)","journal-title":"Pattern Recognition"},{"key":"5_CR7","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1109\/4235.771164","volume":"3","author":"L.O. Hall","year":"1999","unstructured":"Hall, L.O., Ozyurt, I.B., Bezdek, J.C.: Clustering with a genetically optimized approach. IEEE Transactions on Evolutionary Computation\u00a03, 103\u2013112 (1999)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"5_CR8","doi-asserted-by":"publisher","first-page":"2023","DOI":"10.1016\/S0031-3203(97)00020-4","volume":"30","author":"K.S. Al-Sultan","year":"1997","unstructured":"Al-Sultan, K.S., Fedjki, C.A.: A tabu search-based algorithm for the fuzzy clustering problem. Pattern Recognition\u00a030, 2023\u20132030 (1997)","journal-title":"Pattern Recognition"},{"key":"5_CR9","doi-asserted-by":"crossref","unstructured":"Kao, Y., Lin, J.-C., Huang, S.-C.: Fuzzy Clustering by Differential Evolution. In: Eight International Conference on Intelligent System Designs and Applications (2008)","DOI":"10.1109\/ISDA.2008.270"},{"key":"5_CR10","doi-asserted-by":"crossref","unstructured":"Maulik, U., Saha, I.: Automatic fuzzy clustering using modified Differential Evolution for Image Classification. IEEE transactions on Geoscience and Remote sensing\u00a048(9) (September 2010)","DOI":"10.1109\/TGRS.2010.2047020"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Das, S., Konar, A.: Automatic Image Pixel Clustering with an Improved Differential Evolution. Applied Soft Computing, doi:10.1016\/j.asoc.2007.12.008","DOI":"10.1016\/j.asoc.2007.12.008"},{"key":"5_CR12","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1007\/11795131_62","volume-title":"Rough Sets and Knowledge Technology","author":"L. Zhang","year":"2006","unstructured":"Zhang, L., Ma, M., Liu, X., Sun, C., Liu, M., Zho, C.: Differential Evolution Fuzzy Clustering Algorithm based on Kernel methods. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol.\u00a04062, pp. 430\u2013435. Springer, Heidelberg (2006)"},{"key":"5_CR13","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R. Storn","year":"1997","unstructured":"Storn, R., Price, K.: Differential Evolution \u2013 A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces. Journal of Global Optimization\u00a011, 341\u2013359 (1997)","journal-title":"Journal of Global Optimization"},{"issue":"4","key":"5_CR14","first-page":"183","volume":"46","author":"T. Rogalsky","year":"2000","unstructured":"Rogalsky, T., Kocabiyik, S., Derksen, R.: Differential evolution in aerodynamic optimization. Canadian Aeronautics and Space Journal\u00a046(4), 183\u2013190 (2000)","journal-title":"Canadian Aeronautics and Space Journal"},{"issue":"4","key":"5_CR15","doi-asserted-by":"publisher","first-page":"1009","DOI":"10.1109\/20.877804","volume":"36","author":"G. Stumberger","year":"2000","unstructured":"Stumberger, G., Dolinar, D., Pahner, U., Hameyer, K.: Optimization of radial active magnetic bearings using the finite element technique and differential evolution algorithm. IEEE Transactions on Magnetics\u00a036(4), 1009\u20131013 (2000)","journal-title":"IEEE Transactions on Magnetics"},{"issue":"2","key":"5_CR16","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1117\/1.602091","volume":"38","author":"S. Doyle","year":"1999","unstructured":"Doyle, S., Corcoran, D., Connell, J.: Automated mirror design using an evolution strategy. Optical Engineering\u00a038(2), 323\u2013333 (1999)","journal-title":"Optical Engineering"},{"issue":"18","key":"5_CR17","doi-asserted-by":"publisher","first-page":"3685","DOI":"10.1016\/S0009-2509(00)00038-5","volume":"55","author":"F.S. Wang","year":"2000","unstructured":"Wang, F.S., Sheu, J.W.: Multiobjective parameter estimation problems of fermentation processes using a high ethanol tolerance yeast. Chemical Engineering Science\u00a055(18), 3685\u20133695 (2000)","journal-title":"Chemical Engineering Science"},{"key":"5_CR18","first-page":"127","volume-title":"New Ideas in Optimization","author":"J. Lampinen","year":"1999","unstructured":"Lampinen, J., Zelinka, I.: Mechanical Engineering Design Optimization by Differential Evolution. In: New Ideas in Optimization, pp. 127\u2013146. McGraw-Hill, New York (1999)"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Masters, T., Land, W.: A new training algorithm for the general regression neural network. In: IEEE International Conference on Systems, Man and Cybernetics, Computational Cybernetics and Simulation, vol.\u00a03, pp. 1990\u20131994 (1997)","DOI":"10.1109\/ICSMC.1997.635142"},{"key":"5_CR20","unstructured":"Zelinka, I., Lampinen, J.: An evolutionary learning algorithms for neural networks. In: 5th International Conference on Soft Computing MENDEL 1999, pp. 410\u2013414 (1999)"},{"issue":"2","key":"5_CR21","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/s101100050017","volume":"78","author":"M.M. Fischer","year":"1999","unstructured":"Fischer, M.M., Hlavackova-Schindler, K., Reismann, M.: A global search procedure for parameter estimation in neural spatial interaction modelling. Regional Science\u00a078(2), 119\u2013134 (1999)","journal-title":"Regional Science"},{"key":"5_CR22","unstructured":"Gang, L., Yiqing, T., Fu, T.: A fast evolutionary algorithm for neural network training using differential evolution. In: ICYCS 1999 Fifth International Conference for Young Computer Scientists, vol.\u00a01, pp. 507\u2013511 (1999)"},{"issue":"1","key":"5_CR23","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/S0893-6080(98)00104-X","volume":"12","author":"G.P. Schmitz","year":"1999","unstructured":"Schmitz, G.P., Aldrich, C.: Combinatorial Evolution of Regression Nodes in Feedforward Neural Networks. Neural Networks\u00a012(1), 175\u2013189 (1999)","journal-title":"Neural Networks"},{"key":"5_CR24","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1023\/A:1022995128597","volume":"17","author":"J. Ilonen","year":"2003","unstructured":"Ilonen, J., Kamarainen, J.-K., Lampinen, J.: Differential Evolution Training Algorithm for Feedforward Neural Networks. Neural Processing Letters\u00a017, 93\u2013105 (2003)","journal-title":"Neural Processing Letters"},{"key":"5_CR25","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.bej.2005.11.002","volume":"28","author":"T.R. Bhat","year":"2006","unstructured":"Bhat, T.R., Venkataramani, D., Ravi, V., Murty, C.V.S.: Improved differential evolution method for efficient parameter estimation in biofilter modeling. Biochemical Engineering Journal\u00a028, 167\u2013176 (2006)","journal-title":"Biochemical Engineering Journal"},{"issue":"6","key":"5_CR26","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1109\/TEVC.2006.872133","volume":"10","author":"J. Brest","year":"2006","unstructured":"Brest, J., Greiner, S., Boskovic, B., Mernik, M., Zumer, V.: Self-Adapting Control Prameters in Differential Evolution: A Comparative Study on numerical benchmark problems. IEEE transactions on Evolutionary Computation\u00a010(6), 646\u2013657 (2006)","journal-title":"IEEE transactions on Evolutionary Computation"},{"issue":"5","key":"5_CR27","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1109\/TEVC.2009.2014613","volume":"13","author":"J. Zhang","year":"2009","unstructured":"Zhang, J., Sanderson Arthur, C.: JADE: Adaptive Differential Evolution with Optional External Archive. IEEE transactions on Evolutionary Computation\u00a013(5), 945\u2013958 (2009)","journal-title":"IEEE transactions on Evolutionary Computation"},{"key":"5_CR28","doi-asserted-by":"crossref","unstructured":"Qin, A.K., Huang, V.L., Suganthan, P.N.: Differential Evolution Algorithm with strategy adaptation for Global Numerical Optimization. IEEE transactions on Evolutionary Computation\u00a013(2) (April 2009)","DOI":"10.1109\/TEVC.2008.927706"},{"key":"5_CR29","doi-asserted-by":"crossref","unstructured":"Xie, X.L., Beni, G.: A Validity Measure for Fuzzy Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a013(8), 841\u2013847","DOI":"10.1109\/34.85677"},{"key":"5_CR30","volume-title":"UCI repository of machine learning databases","author":"C.L. Blake","year":"1998","unstructured":"Blake, C.L., Merz, C.J.: UCI repository of machine learning databases. University of California, Department of Information and Computer Science, Irvine (1998), \n                  \n                    http:\/\/www.ics.uci.edu\/mlearn\/MLRepository.html"},{"key":"5_CR31","first-page":"127","volume":"72","author":"M. Forina","year":"1982","unstructured":"Forina, M., Armanino, C.: Eigenvector projection and simplified nonlinear mapping of fatty acid content of Italian olive oils. Annali di Chimica\u00a072, 127\u2013141 (1982), \n                  \n                    ftp:\/\/ftp.clarkson.edu\/pub\/hopkepk\/Chemdata\/Original\/oliveoil.dat","journal-title":"Annali di Chimica"}],"container-title":["Lecture Notes in Computer Science","Swarm, Evolutionary, and Memetic Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-17563-3_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,22]],"date-time":"2019-03-22T16:51:45Z","timestamp":1553273505000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-17563-3_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642175626","9783642175633"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-17563-3_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010]]}}}