{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T19:34:12Z","timestamp":1742931252428,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":22,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662493892"},{"type":"electronic","value":"9783662493908"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-662-49390-8_11","type":"book-chapter","created":{"date-parts":[[2016,3,7]],"date-time":"2016-03-07T18:17:15Z","timestamp":1457374635000},"page":"117-126","source":"Crossref","is-referenced-by-count":2,"title":["Adaptive Ant Clustering Algorithm with Pheromone"],"prefix":"10.1007","author":[{"given":"Urszula","family":"Boryczka","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Kozak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"11_CR1","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1162\/artl.1997.3.3.191","volume":"3","author":"E Bonabeau","year":"1997","unstructured":"Bonabeau, E.: From classical models of morphogenesis to agent-based models of patern formation. Artif. Life 3, 191\u2013209 (1997)","journal-title":"Artif. Life"},{"key":"11_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1007\/978-3-642-16693-8_39","volume-title":"Computational Collective Intelligence","author":"U Boryczka","year":"2010","unstructured":"Boryczka, U., Kozak, J.: Ant colony decision trees \u2013 a new method for constructing decision trees based on ant colony optimization. In: Pan, J.-S., Chen, S.-M., Nguyen, N.T. (eds.) ICCCI 2010, Part I. LNCS, vol. 6421, pp. 373\u2013382. Springer, Heidelberg (2010)"},{"key":"11_CR3","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1016\/j.asoc.2014.12.036","volume":"30","author":"U Boryczka","year":"2015","unstructured":"Boryczka, U., Kozak, J.: Enhancing the effectiveness of ant colony decision tree algorithms by co-learning. Appl. Soft Comput. 30, 166\u2013178 (2015)","journal-title":"Appl. Soft Comput."},{"key":"11_CR4","unstructured":"Bouckaert, R.R., Frank, E., Hall, M., Kirkby, R., Reutemann, P., Seewald, A., Scuse, D.: Weka manual for version 3-7-10. Nieznane czasopismo (2013)"},{"key":"11_CR5","doi-asserted-by":"crossref","unstructured":"Chen, Q., Mo, J.: Optimizing the ant clustering model based on k-means algorithm. In: Proceeding of the WRI World Congerss on Computer Science and Information Engineering, vol. 3, pp. 699\u2013702 (2009)","DOI":"10.1109\/CSIE.2009.813"},{"issue":"1","key":"11_CR6","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/S0164-1212(03)00216-4","volume":"73","author":"CW Tsai","year":"2004","unstructured":"Tsai, C.W., Tsai, C.-F., Wu, H.-C.: Acof: a novel data clustering approach for data mining in large data bases. J. Syst. Softw. 73(1), 133\u2013145 (2004)","journal-title":"J. Syst. Softw."},{"key":"11_CR7","unstructured":"Chretien, L.: Organisation Spatiale du Materiel Provenant de L\u2019excavation du nid chez Messor Barbarus et des Cadavres d\u2019ouvrieres chez Lasius niger (Hymenopterae: Formicidae). Ph.D. thesis, Universite Libre dr Bruxelles (1996)"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Chu, S.-C., Roddick, J.F., Su, C.-J.: Constrained ant colony optimization for data clustering. J. Artif. Intell., 534\u2013543 (2004)","DOI":"10.1007\/978-3-540-28633-2_57"},{"key":"11_CR9","doi-asserted-by":"crossref","first-page":"356","DOI":"10.7551\/mitpress\/3115.003.0048","volume-title":"First Conference on Simulation of Adaptive Behavior. From Animals to Animats","author":"J-L Deneubourg","year":"1991","unstructured":"Deneubourg, J.-L., Goss, S., Franks, N., Sendova-Franks, A., Detrain, C., Chretien, L.: The dynamics of collective sorting: robot-like ant and ant-like robot. In: Meyer, J.A., Wilson, S.W. (eds.) First Conference on Simulation of Adaptive Behavior. From Animals to Animats, pp. 356\u2013365. MIT Press, Cambridge (1991)"},{"key":"11_CR10","unstructured":"Fernandes, C., Merelo, J.J., Mora, A.M., Ramos, V., Laredo, J.L.J.: Kohonants: a self-organizing algorithm for clustering and pattern classification. Artif. Life XI, 428\u2013435 (2008)"},{"key":"11_CR11","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/BF00173947","volume":"30","author":"NR Franks","year":"1992","unstructured":"Franks, N.R., Sendova-Franks, A.B.: Brood sorting by ants: distributing the workload over the work surface. Behav. Ecol. Sociobiol. 30, 109\u2013123 (1992)","journal-title":"Behav. Ecol. Sociobiol."},{"issue":"13","key":"11_CR12","doi-asserted-by":"publisher","first-page":"2816","DOI":"10.1016\/j.ins.2008.02.015","volume":"178","author":"A Ghosh","year":"2008","unstructured":"Ghosh, A., Halder, A., Kothari, M., Ghosh, S.: Aggregation pheromone density based data clustering. Inf. Sci. 178(13), 2816\u20132831 (2008)","journal-title":"Inf. Sci."},{"key":"11_CR13","unstructured":"Gutowitz, H.: Complexity \u2014 seeking ants. Unpublished report (1993)"},{"key":"11_CR14","unstructured":"Handl, J., Knowles, J., Dorigo, M.: Ant-based clustering: a comparative study of its relative performance with respect to k-means, average link and id-som. Technical report 24, IRIDIA, Universite Libre de Bruxelles, Belgium (2003)"},{"key":"11_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1007\/3-540-45712-7_88","volume-title":"Parallel Problem Solving from Nature - PPSN VII","author":"J Handl","year":"2002","unstructured":"Handl, J., Meyer, B.: Improved ant-based clustering and sorting in a document retrieval interface. In: Guerv\u00f3s, J.J.M., Adamidis, P.A., Beyer, H.-G., Fern\u00e1ndez-Villaca\u00f1as, J.-L., Schwefel, H.-P. (eds.) PPSN VII. LNCS, vol. 2439, pp. 913\u2013923. Springer, Heidelberg (2002)"},{"key":"11_CR16","doi-asserted-by":"crossref","unstructured":"Lumer, E., Faieta, B.: Diversity and adaptation in populations of clustering ants. In: Third International Conference on Simulation of Adaptive Behavior: From Animals to Animats 3, pp. 489\u2013508. MIT Press, Cambridge (1994)","DOI":"10.7551\/mitpress\/3117.003.0071"},{"key":"11_CR17","unstructured":"Ngenkaew, W., Ono, S., Nakayamo, S.: Multiple pheromone deposition in ant-based clustering as an ant foraging concept. In: Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2004, pp. 268\u2013275. IEEE (2004)"},{"key":"11_CR18","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/0375-9601(96)00272-1","volume":"216","author":"SA Oprisan","year":"1996","unstructured":"Oprisan, S.A., Holban, V., Moldoveanu, B.: Functional self-organisation performing wide-sense stochastic processes. Phys. Lett. A 216, 303\u2013306 (1996)","journal-title":"Phys. Lett. A"},{"issue":"12","key":"11_CR19","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1002\/int.20111","volume":"20","author":"T Runkler","year":"2005","unstructured":"Runkler, T.: Ant colony optimization of clustering model. Int. J. Intell. Syst. 20(12), 1233\u20131261 (2005)","journal-title":"Int. J. Intell. Syst."},{"key":"11_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1088","DOI":"10.1007\/978-3-540-30499-9_169","volume-title":"Neural Information Processing","author":"V Sherafat","year":"2004","unstructured":"Sherafat, V., Nunes de Castro, L., Hruschka, E.R.: TermitAnt: an ant clustering algorithm improved by ideas from termite colonies. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds.) ICONIP 2004. LNCS, vol. 3316, pp. 1088\u20131093. Springer, Heidelberg (2004)"},{"issue":"2","key":"11_CR21","first-page":"143","volume":"29","author":"A Vizine","year":"2005","unstructured":"Vizine, A., de Castro, L., Hruschka, E.: Towards improving clustering ants: Adaptive clustering algorithm. Inf. J. 29(2), 143\u2013154 (2005)","journal-title":"Inf. J."},{"key":"11_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1007\/978-3-642-01510-6_80","volume-title":"Advances in Neural Networks \u2013 ISNN 2009","author":"F Wang","year":"2009","unstructured":"Wang, F., Zhang, D., Bao, N.: Fuzzy document clustering based on ant colony algorithm. In: Yu, W., He, H., Zhang, N. (eds.) ISNN 2009, Part II. LNCS, vol. 5552, pp. 709\u2013716. Springer, Heidelberg (2009)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-49390-8_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T12:52:47Z","timestamp":1720788767000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-662-49390-8_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783662493892","9783662493908"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-49390-8_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}