{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T07:02:51Z","timestamp":1761807771123},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642329630"},{"type":"electronic","value":"9783642329647"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-32964-7_32","type":"book-chapter","created":{"date-parts":[[2012,8,25]],"date-time":"2012-08-25T18:49:32Z","timestamp":1345920572000},"page":"317-326","source":"Crossref","is-referenced-by-count":7,"title":["Optimizing Cellular Automata through a Meta-model Assisted Memetic Algorithm"],"prefix":"10.1007","author":[{"given":"Donato","family":"D\u2019Ambrosio","sequence":"first","affiliation":[]},{"given":"Rocco","family":"Rongo","sequence":"additional","affiliation":[]},{"given":"William","family":"Spataro","sequence":"additional","affiliation":[]},{"given":"Giuseppe A.","family":"Trunfio","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"32_CR1","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/S0167-739X(99)00051-5","volume":"16","author":"S. Gregorio Di","year":"1999","unstructured":"Di Gregorio, S., Serra, R.: An empirical method for modelling and simulating some complex macroscopic phenomena by cellular automata. Future Generation Computer Systems\u00a016, 259\u2013271 (1999)","journal-title":"Future Generation Computer Systems"},{"key":"32_CR2","first-page":"247","volume":"87","author":"R. Rongo","year":"2008","unstructured":"Rongo, R., Spataro, W., D\u2019Ambrosio, D., Avolio, M.V., Trunfio, G.A., Gregorio, S.D.: Lava flow hazard evaluation through cellular automata and genetic algorithms: an application to mt etna volcano. Fundam. Inform.\u00a087, 247\u2013267 (2008)","journal-title":"Fundam. Inform."},{"key":"32_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1007\/978-3-642-12156-2_13","volume-title":"Computational Science and Its Applications \u2013 ICCSA 2010","author":"I. Blecic","year":"2010","unstructured":"Blecic, I., Cecchini, A., Trunfio, G.A.: A Comparison of Evolutionary Algorithms for Automatic Calibration of Constrained Cellular Automata. In: Taniar, D., Gervasi, O., Murgante, B., Pardede, E., Apduhan, B.O. (eds.) ICCSA 2010, Part I. LNCS, vol.\u00a06016, pp. 166\u2013181. Springer, Heidelberg (2010)"},{"key":"32_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1007\/978-3-642-31500-8_55","volume-title":"Parallel Processing and Applied Mathematics","author":"D. D\u2019Ambrosio","year":"2012","unstructured":"D\u2019Ambrosio, D., Rongo, R., Spataro, W., Trunfio, G.A.: Meta-model Assisted Evolutionary Optimization of Cellular Automata: An Application to the SCIARA Model. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wa\u015bniewski, J. (eds.) PPAM 2011, Part II. LNCS, vol.\u00a07204, pp. 533\u2013542. Springer, Heidelberg (2012)"},{"key":"32_CR5","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s00500-003-0328-5","volume":"9","author":"Y. Jin","year":"2005","unstructured":"Jin, Y.: A comprehensive survey of fitness approximation in evolutionary computation. Soft Comput.\u00a09, 3\u201312 (2005)","journal-title":"Soft Comput."},{"key":"32_CR6","unstructured":"Moscato, P.: On evolution, search, optimization, genetic algorithms and martial arts - towards memetic algorithms (1989)"},{"key":"32_CR7","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1109\/TSMCC.2005.855506","volume":"37","author":"Z. Zhou","year":"2007","unstructured":"Zhou, Z., Ong, Y.S., Nair, P.B., Keane, A.J., Lum, K.Y.: Combining global and local surrogate models to accelerate evolutionary optimization. IEEE Transactions on Systems, Man, and Cybernetics, Part C\u00a037, 66\u201376 (2007)","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part C"},{"key":"32_CR8","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1109\/TEVC.2009.2027359","volume":"14","author":"D. Lim","year":"2010","unstructured":"Lim, D., Jin, Y., Ong, Y.S., Sendhoff, B.: Generalizing surrogate-assisted evolutionary computation. IEEE Trans. Evolutionary Computation\u00a014, 329\u2013355 (2010)","journal-title":"IEEE Trans. Evolutionary Computation"},{"key":"32_CR9","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.procs.2010.04.004","volume":"1","author":"W. Spataro","year":"2010","unstructured":"Spataro, W., Avolio, M.V., Lupiano, V., Trunfio, G.A., Rongo, R., D\u2019Ambrosio, D.: The latest release of the lava flows simulation model sciara: First application to Mt Etna (Italy) and solution of the anisotropic flow direction problem on an ideal surface. Procedia CS\u00a01, 17\u201326 (2010)","journal-title":"Procedia CS"},{"key":"32_CR10","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1162\/neco.1991.3.2.246","volume":"3","author":"J. Park","year":"1991","unstructured":"Park, J., Sandberg, I.W.: Universal approximation using radial-basis-function networks. Neural Comput.\u00a03, 246\u2013257 (1991)","journal-title":"Neural Comput."},{"key":"32_CR11","first-page":"993","volume":"9","author":"C. Igel","year":"2008","unstructured":"Igel, C., Heidrich-Meisner, V., Glasmachers, T.: Shark. Journal of Machine Learning Research\u00a09, 993\u2013996 (2008)","journal-title":"Journal of Machine Learning Research"},{"key":"32_CR12","doi-asserted-by":"crossref","unstructured":"Igel, C., H\u00fcsken, M.: Empirical evaluation of the improved Rprop learning algorithm. Neurocomputing\u00a050 (2003)","DOI":"10.1016\/S0925-2312(01)00700-7"},{"key":"32_CR13","unstructured":"Celis, M.R., Dennis Jr., J.E., Tapia, R.A.: A trust region strategy for nonlinear equality constrained optimization. In: Boggs, P., Byrd, R., Schnabel, R. (eds.) Numerical Optimization 1984, pp. 71\u201382. SIAM Publications (1985)"},{"key":"32_CR14","doi-asserted-by":"publisher","first-page":"526","DOI":"10.1137\/050635225","volume":"17","author":"W.W. Hager","year":"2006","unstructured":"Hager, W.W., Zhang, H.: A new active set algorithm for box constrained optimization. SIAM Journal on Optimization\u00a017, 526\u2013557 (2006)","journal-title":"SIAM Journal on Optimization"},{"key":"32_CR15","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1109\/TEVC.2003.819944","volume":"8","author":"Y. Ong","year":"2004","unstructured":"Ong, Y., Keane, A.J.: Meta-lamarckian learning in memetic algorithms. IEEE Transactions on Evolutionary Computation\u00a08, 99\u2013110 (2004)","journal-title":"IEEE Transactions on Evolutionary Computation"}],"container-title":["Lecture Notes in Computer Science","Parallel Problem Solving from Nature - PPSN XII"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-32964-7_32.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T11:50:21Z","timestamp":1620129021000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-32964-7_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642329630","9783642329647"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-32964-7_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}