{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T19:55:47Z","timestamp":1725566147037},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540228813"},{"type":"electronic","value":"9783540286516"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004]]},"DOI":"10.1007\/978-3-540-28651-6_9","type":"book-chapter","created":{"date-parts":[[2010,9,16]],"date-time":"2010-09-16T20:04:40Z","timestamp":1284667480000},"page":"58-64","source":"Crossref","is-referenced-by-count":15,"title":["A New Artificial Immune System Algorithm for Clustering"],"prefix":"10.1007","author":[{"given":"Reda","family":"Younsi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjia","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"9_CR1","unstructured":"de Castro, L.N., Von Zuben, F.J.: The Clonal Selection Algorithm with Engineering Applications (full version, pre-print). In: Proceedings of GECCO 2000, Workshop on Artificial Immune Systems and Their Applications, pp. 36\u201337 (2000)"},{"key":"9_CR2","volume-title":"Book Chapter in Data Mining: A Heuristic Approach","author":"L.N. Castro de","year":"2001","unstructured":"de Castro, L.N., Von Zuben, F.J.: aiNet: An Artificial Immune Network for Data Analysis (Full version, pre-print). In: Abbass, H.A., Sarker, R.A., Newton, C.S. (eds.) Book Chapter in Data Mining: A Heuristic Approach, Idea Group Publishing, USA (2001)"},{"key":"9_CR3","first-page":"67","volume-title":"Artificial Neural Networks in Pattern Recognition, SOCO 2002","author":"L.N. Castro de","year":"2002","unstructured":"de Castro, L.N., Timmis, J.: Artificial Immune Systems: A Novel Paradigm to Pattern Recognition(pre-print). In: Corchado, J.M., Alonso, L., Fyfe, C. (eds.) Artificial Neural Networks in Pattern Recognition, SOCO 2002, pp. 67\u201384. University of Paisley, UK (2002)"},{"issue":"3","key":"9_CR4","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1109\/TEVC.2002.1011539","volume":"6","author":"L.N. Castro de","year":"2002","unstructured":"de Castro, L.N., Von Zuben, F.J.: Learning and Optimization Using the Clonal Selection Principle. IEEE Transactions on Evolutionary Computation, Special Issue on Artificial Immune Systems\u00a06(3), 239\u2013251 (2002)","journal-title":"IEEE Transactions on Evolutionary Computation, Special Issue on Artificial Immune Systems"},{"key":"9_CR5","first-page":"373","volume":"125C","author":"N.K. Jerne","year":"1974","unstructured":"Jerne, N.K.: Towards a network theory of the immune system. Ann, Immunol (Inst. Pasteur)\u00a0125C, 373\u2013389 (1974)","journal-title":"Ann, Immunol. (Inst. Pasteur)"},{"key":"9_CR6","doi-asserted-by":"crossref","unstructured":"Nasaroui, O., Gonzales, F., Dasgupta, D.: The fuzzy artificial immune system: Motivations, basic concepts, and application to clustering and Web profiling. In: Proc. of the IEEE International Conf. On Fuzzy Systems at WCCI, Hawaii, May 12-17, pp. 711\u2013716 (2002)","DOI":"10.1109\/FUZZ.2002.1005080"},{"key":"9_CR7","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1111\/j.1600-065X.1989.tb00025.x","volume":"110","author":"A. Perelson","year":"1989","unstructured":"Perelson, A.: Immune network theory. immunological review\u00a0110, 5\u201336 (1989)","journal-title":"immunological review"},{"key":"9_CR8","unstructured":"Timmis, J.: Artificial immune systems: A novel data analysis technique inspired by the immune network theory, Ph. D thesis, Department of Computer Science, University of Wales, Aberystwyth, Ceredigion, Wales (2000)"},{"key":"9_CR9","unstructured":"Wierzchon, S., Kuzelewska, U.: Stable Clusters Formation in an Artificial Immune System. In: Timmis, J., Bentley, P.J. (eds.) Proceedings of the 1st International Conference on Artificial Immune Systems (ICARIS), University of Kent at Canterbury, University of Kent at Canterbury Printing Unit (2002), pp. 68\u201375 (2002)"},{"key":"9_CR10","first-page":"524","volume-title":"Advances in Neural Information Processing Systems, 2","author":"S.E. Fahlman","year":"1990","unstructured":"Fahlman, S.E., Lebiere, C.: The Cascade-Correlation Learning Architecture. In: Touretzky, D.S. (ed.) Advances in Neural Information Processing Systems, 2, pp. 524\u2013532. Morgan Kaufmann, San Mateo (1990)"},{"key":"9_CR11","unstructured":"Ultsch, A.: Self-Organizing Neural Networks Perform Different from Statistical k-means, Gesellschaft f\u00fcr Klassifica-tion (1995)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2004"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-28651-6_9.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T03:33:51Z","timestamp":1620012831000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-28651-6_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004]]},"ISBN":["9783540228813","9783540286516"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-28651-6_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2004]]}}}