{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T16:22:55Z","timestamp":1778170975464,"version":"3.51.4"},"publisher-location":"Berlin, Heidelberg","reference-count":25,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540769309","type":"print"},{"value":"9783540769316","type":"electronic"}],"license":[{"start":{"date-parts":[[2007,1,1]],"date-time":"2007-01-01T00:00:00Z","timestamp":1167609600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007]]},"DOI":"10.1007\/978-3-540-76931-6_23","type":"book-chapter","created":{"date-parts":[[2007,11,5]],"date-time":"2007-11-05T11:42:55Z","timestamp":1194262975000},"page":"257-268","source":"Crossref","is-referenced-by-count":27,"title":["An Evolutionary Algorithm with Spatially Distributed Surrogates for Multiobjective Optimization"],"prefix":"10.1007","author":[{"given":"Amitay","family":"Isaacs","sequence":"first","affiliation":[]},{"given":"Tapabrata","family":"Ray","sequence":"additional","affiliation":[]},{"given":"Warren","family":"Smith","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"23_CR1","first-page":"3","volume":"9","author":"Y. Jin","year":"2005","unstructured":"Jin, Y.: A comprehensive survey of fitness approximation in evolutionary computation. Soft Computing - A Fusion of Foundations, Methodologies and Applications\u00a09, 3\u201312 (2005)","journal-title":"Soft Computing - A Fusion of Foundations, Methodologies and Applications"},{"key":"23_CR2","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1023\/A:1011818803494","volume":"2","author":"B. Wilson","year":"2001","unstructured":"Wilson, B., Cappelleri, D., Simpson, T.W., Frecker, M.: Efficient pareto frontier exploration using surrogate approximations. Optimization and Engineering\u00a02, 31\u201350 (2001)","journal-title":"Optimization and Engineering"},{"key":"23_CR3","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/s00158-006-0051-9","volume":"33","author":"T. Goel","year":"2007","unstructured":"Goel, T., Haftka, R.T., Shyy, W., Queipo, N.V.: Ensemble of surrogates. Structural and Multidisciplinary Optimization\u00a033, 199\u2013216 (2007)","journal-title":"Structural and Multidisciplinary Optimization"},{"key":"23_CR4","first-page":"93","volume-title":"Proceedings of the 1st International Conference on Genetic Algorithms","author":"J.D. Schaffer","year":"1985","unstructured":"Schaffer, J.D.: Multiple Objective Optimization with Vector Evaluated Genetic Algorithms. In: Proceedings of the 1st International Conference on Genetic Algorithms, pp. 93\u2013100. Lawrence Erlbaum Associates, Mahwah, NJ (1985)"},{"key":"23_CR5","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1109\/TSMCC.2005.855506","volume":"37","author":"Z.Z. Zhou","year":"2007","unstructured":"Zhou, Z.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-Applications and Reviews\u00a037, 66\u201376 (2007)","journal-title":"IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Reviews"},{"key":"23_CR6","unstructured":"Gaspar-Cunha, A., Vieira, A.S.: A hybrid multi-objective evolutionary algorithm using an inverse neural network. In: Hybrid Metaheuristics (HM 2004) Workshop at ECAI 2004, Valencia, Spain (2004)"},{"key":"23_CR7","first-page":"123","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Machine Learning\u00a024, 123\u2013140 (1996)","journal-title":"Machine Learning"},{"key":"23_CR8","unstructured":"Abney, S., Schapire, R.E., Singer, Y.: Boosting applied to tagging and PP attachment. In: Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (1999)"},{"key":"23_CR9","doi-asserted-by":"crossref","unstructured":"Zhao, Y., Gao, J., Yang, X.: A survey of neural network ensembles. In: International Conference on Neural Networks and Brain (ICNN&B 2005), vol.\u00a01, pp. 438\u2013442 (2005)","DOI":"10.1109\/ICNNB.2005.1614650"},{"key":"23_CR10","series-title":"Lecture Notes in Computer Science","first-page":"688","volume-title":"GECCO 2004","author":"Y. Jin","year":"2004","unstructured":"Jin, Y., Sendhoff, B.: Reducing fitness evaluations using clustering techniques and neural networks ensembles. In: Deb, K., et al. (eds.) GECCO 2004. LNCS, vol.\u00a03102, pp. 688\u2013699. Springer, Heidelberg (2004)"},{"key":"23_CR11","doi-asserted-by":"crossref","unstructured":"Hamza, K., Saitou, K.: Vehicle crashworthiness design via a surrogate model ensemble and a coevolutionary genetic algorithm. In: Proceedings of IDETC\/CIE 2005 ASME 2005 International Design Engineering Technical Conference, California, USA (September 2005)","DOI":"10.1115\/DETC2005-84965"},{"key":"23_CR12","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1016\/j.petrol.2005.03.002","volume":"47","author":"L.E. Zerpa","year":"2005","unstructured":"Zerpa, L.E., Queipo, N.V., Pintos, S., Salager, J.L.: An optimization methodology of alkaline-surfactant-polymer flooding processes using field scale numerical simulation and multiple surrogates. Journal of Petroleum Science and Engineering\u00a047, 197\u2013208 (2005)","journal-title":"Journal of Petroleum Science and Engineering"},{"key":"23_CR13","first-page":"957","volume":"11","author":"Z. Zhou","year":"2007","unstructured":"Zhou, Z., Ong, Y.S., Lim, M.H., Lee, B.S.: Memetic algorithm using multi-surrogates for computationally expensive optimization problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications\u00a011, 957\u2013971 (2007)","journal-title":"Soft Computing - A Fusion of Foundations, Methodologies and Applications"},{"key":"23_CR14","unstructured":"Nain, P., Deb, K.: A computationally effective multi-objective search and optimization techniques using coarse-to-fine grain modeling. In: 2002 PPSN Workshop on Evolutionary Multiobjective Optimization (2002)"},{"key":"23_CR15","doi-asserted-by":"crossref","unstructured":"Ray, T., Smith, W.: Surrogate assisted evolutionary algorithm for multiobjective optimization. In: Proceedings of 47th AIAA\/ASME\/ASCE\/AHS\/ASC Structures, Structural Dynamics, and Materials Conference, pp. 1\u20138 (2006)","DOI":"10.2514\/6.2006-2050"},{"key":"23_CR16","unstructured":"Nain, P.K.S., Deb, K.: A multi-objective optimization procedure with successive approximate models. Technical Report 2005002, KanGAL, IIT Kanpur (2005)"},{"key":"23_CR17","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/TEVC.2005.851274","volume":"10","author":"J. Knowles","year":"2006","unstructured":"Knowles, J.: ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems. IEEE Transactions on Evolutionary Computation\u00a010, 50\u201366 (2006)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"23_CR18","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1109\/TEVC.2005.859463","volume":"10","author":"M.T.M. Emmerich","year":"2006","unstructured":"Emmerich, M.T.M., Giannakoglou, K.C., Naujoks, B.: Single and multiobjective evolutionary optimization assisted by gaussian random field metamodels. IEEE Transactions on Evolutionary Computation\u00a010, 421\u2013439 (2006)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"23_CR19","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1109\/TSMCC.2004.841905","volume":"35","author":"D. Chafekar","year":"2005","unstructured":"Chafekar, D., Shi, L., Rasheed, K., Xuan, J.: Multiobjective ga optimization using reduced models. Systems, Man and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on\u00a035, 261\u2013265 (2005)","journal-title":"Systems, Man and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on"},{"key":"23_CR20","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K. Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation\u00a06, 182\u2013197 (2002)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"23_CR21","first-page":"115","volume":"9","author":"K. Deb","year":"1995","unstructured":"Deb, K., Agrawal, S.: Simulated binary crossover for continuous search space. Complex Systems\u00a09, 115\u2013148 (1995)","journal-title":"Complex Systems"},{"key":"23_CR22","first-page":"30","volume":"26","author":"K. Deb","year":"1996","unstructured":"Deb, K., Goyal, M.: A combined genetic adaptive search (GeneAS) for engineering design. Computer Science and Informatics\u00a026, 30\u201345 (1996)","journal-title":"Computer Science and Informatics"},{"key":"23_CR23","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1145\/331499.331504","volume":"31","author":"A.K. Jain","year":"1999","unstructured":"Jain, A.K., Murty, M.N., Flynn, P.J.: Data clustering: A review. ACM Computing Surveys\u00a031, 265\u2013323 (1999)","journal-title":"ACM Computing Surveys"},{"key":"23_CR24","doi-asserted-by":"crossref","unstructured":"Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In: Proceedings of the Parallel Problem Solving from Nature VI, pp. 849\u2013858 (2000)","DOI":"10.1007\/3-540-45356-3_83"},{"key":"23_CR25","volume-title":"Multi-Objective Optimization using Evolutionary Algorithms","author":"K. Deb","year":"2001","unstructured":"Deb, K.: Multi-Objective Optimization using Evolutionary Algorithms. John Wiley and Sons, Chichester (2001)"}],"container-title":["Lecture Notes in Computer Science","Progress in Artificial Life"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-76931-6_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,22]],"date-time":"2025-01-22T03:12:19Z","timestamp":1737515539000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-76931-6_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007]]},"ISBN":["9783540769309","9783540769316"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-76931-6_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2007]]}}}