{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T20:14:27Z","timestamp":1776284067101,"version":"3.50.1"},"reference-count":68,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2012,9,4]],"date-time":"2012-09-04T00:00:00Z","timestamp":1346716800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Memetic Comp."],"published-print":{"date-parts":[[2013,3]]},"DOI":"10.1007\/s12293-012-0090-2","type":"journal-article","created":{"date-parts":[[2012,9,3]],"date-time":"2012-09-03T12:52:39Z","timestamp":1346676759000},"page":"3-18","source":"Crossref","is-referenced-by-count":87,"title":["A framework for finding robust optimal solutions over time"],"prefix":"10.1007","volume":"5","author":[{"given":"Yaochu","family":"Jin","sequence":"first","affiliation":[]},{"given":"Ke","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Bernhard","family":"Sendhoff","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Yao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,9,4]]},"reference":[{"key":"90_CR1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-0911-0","volume-title":"Evolutionary optimization in dynamic environments","author":"J Branke","year":"2002","unstructured":"Branke J (2002) Evolutionary optimization in dynamic environments. Kluwer, Norwell"},{"issue":"3","key":"90_CR2","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1109\/TEVC.2005.846356","volume":"9","author":"Y Jin","year":"2005","unstructured":"Jin Y, Branke J (2005) Evolutionary optimization in uncertain environments\u2014a survey. IEEE Trans Evol Comput 9(3): 303\u2013317","journal-title":"IEEE Trans Evol Comput"},{"key":"90_CR3","unstructured":"Weise T (2009) Global optimization algorithms\u2014theory and application, 2nd edn. http:\/\/www.itweise.de\/projects\/book.pdf"},{"issue":"1","key":"90_CR4","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s12293-008-0003-6","volume":"1","author":"X Yu","year":"2009","unstructured":"Yu X, Tang K, Chen T, Yao X (2009) Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization. Memet Comput 1(1): 3\u201324","journal-title":"Memet Comput"},{"key":"90_CR5","doi-asserted-by":"crossref","unstructured":"Brest J, Zamuda A, Bo\u0161kovi\u0107 B, Mau\u010dec MS, \u017dumer V (2009) Dynamic optimization using self-adaptive differential evolution. In: Proceedings of the 2009 IEEE congress on evolutionary computation, pp 415\u2013422","DOI":"10.1109\/CEC.2009.4982976"},{"key":"90_CR6","doi-asserted-by":"crossref","unstructured":"Yu EL, Suganthan PN (2009) Evolutionary programming with ensemble of explicit memories for dynamic optimization. In: Proceedings of the 2009 IEEE congress on evolutionary computation, pp 431\u2013438","DOI":"10.1109\/CEC.2009.4982978"},{"key":"90_CR7","doi-asserted-by":"crossref","unstructured":"Singh HK, Isaacs A, Nguyen TT, Ray T, Yao X (2009) Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems. In: Proceedings of the 2009 IEEE congress on evolutionary computation, pp 3127\u20133134","DOI":"10.1109\/CEC.2009.4983339"},{"key":"90_CR8","doi-asserted-by":"crossref","unstructured":"Yang S, Li C (2010) A clustering particle swarm optimizer for locating and tracking multiple optima in dynamic environments. IEEE Trans Evol Comput 14(6):959\u2013974","DOI":"10.1109\/TEVC.2010.2046667"},{"key":"90_CR9","doi-asserted-by":"crossref","unstructured":"Yu X, Jin Y, Tang K, Yao X (2010) Robust optimization over time\u2014a new perspective on dynamic optimization problems. In: Proceedings of the 2010 IEEE congress on evolutionary computation, pp 3998\u20134003","DOI":"10.1109\/CEC.2010.5586024"},{"key":"90_CR10","doi-asserted-by":"crossref","unstructured":"Handa H (2006) Fitness function for finding out robust solutions on time-varying functions. In: Proceedings of the 2006 genetic and evolutionary computation conference, pp 1195\u20131200","DOI":"10.1145\/1143997.1144186"},{"key":"90_CR11","doi-asserted-by":"crossref","unstructured":"Bosman PAN (2005) Learning, anticipation and time-deception in evolutionary online dynamic optimization. In: Proceedings of the 2005 genetic and evolutionary computation conference, pp 39\u201347","DOI":"10.1145\/1102256.1102264"},{"key":"90_CR12","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1093\/oso\/9780198534396.003.0003","volume-title":"Advances in numerical analysis, vol 2: wavelets, subdivision algorithms and radial basis functions","author":"MJD Powell","year":"1992","unstructured":"Powell MJD (1992) The theory of radial basis function approximation in 1990. In: Light W (ed) Advances in numerical analysis, vol 2: wavelets, subdivision algorithms and radial basis functions. Oxfod Univ. Press, London, pp 105\u2013210"},{"issue":"3","key":"90_CR13","first-page":"172","volume":"4","author":"KH Liang","year":"2000","unstructured":"Liang KH, Yao X, Newton C (2000) Evolutionary search of approximated n-dimensional landscapes. Int J Knowl Based Intell Eng Syst 4(3): 172\u2013183","journal-title":"Int J Knowl Based Intell Eng Syst"},{"issue":"5","key":"90_CR14","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1109\/TEVC.2004.835247","volume":"8","author":"RG Regis","year":"2004","unstructured":"Regis RG, Shoemaker CA (2004) Local function approximation in evolutionary algorithms for the optimization of costly functions. IEEE Trans Evol Comput 8(5): 490\u2013505","journal-title":"IEEE Trans Evol Comput"},{"key":"90_CR15","volume-title":"Time series analysis: forecasting and control, 3rd edn","author":"GEP Box","year":"1994","unstructured":"Box GEP, Jenkins GM, Reinsel G (1994) Time series analysis: forecasting and control, 3rd edn. Prentice Hall PTR, Upper Saddle River"},{"issue":"5","key":"90_CR16","doi-asserted-by":"crossref","first-page":"1054","DOI":"10.1109\/TEVC.2009.2014361","volume":"13","author":"K Deb","year":"2009","unstructured":"Deb K, Gupta S, Daum D, Branke J, Mall AK, Padmanabhan D (2009) Reliability-based optimization using evolutionary algorithms. IEEE Trans Evol Comput 13(5): 1054\u20131074","journal-title":"IEEE Trans Evol Comput"},{"key":"90_CR17","doi-asserted-by":"crossref","first-page":"3190","DOI":"10.1016\/j.cma.2007.03.003","volume":"196","author":"HG Beyer","year":"2007","unstructured":"Beyer HG, Sendhoff B (2007) Robust optimization\u2014a comprehensive survey. Comput Methods Appl Mech Eng 196: 3190\u2013 3218","journal-title":"Comput Methods Appl Mech Eng"},{"key":"90_CR18","doi-asserted-by":"crossref","unstructured":"Branke J (1998) Creating robust solutions by means of an evolutionary algorithm. Parallel Problem Solving from Nature\u2013PPSN V, pp 119\u2013128","DOI":"10.1007\/BFb0056855"},{"issue":"28","key":"90_CR19","doi-asserted-by":"crossref","first-page":"5477","DOI":"10.1364\/AO.35.005477","volume":"35","author":"H Greiner","year":"1996","unstructured":"Greiner H (1996) Robust optical coating design with evolution strategies. Appl Opt 35(28): 5477\u20135483","journal-title":"Appl Opt"},{"issue":"4","key":"90_CR20","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1109\/4235.738986","volume":"2","author":"D Wiesmann","year":"1998","unstructured":"Wiesmann D, Hammel U, Back T (1998) Robust design of multilayer optical coatings by means of evolutionary algorithms. IEEE Trans Evol Comput 2(4): 162\u2013167","journal-title":"IEEE Trans Evol Comput"},{"key":"90_CR21","unstructured":"Branke J (2001) Reducing the sampling variance when searching for robust solutions. In: Proceedings of genetic and evolutionary computation conference, pp 235\u2013242"},{"key":"90_CR22","unstructured":"Loughlin DH, Ranjithan SR (1999) Chance-constrained genetic algorithms. In: Proceedings of genetic and evolutionary computation conference, pp 369\u2013376"},{"key":"90_CR23","unstructured":"Jin Y (2002) Fitness approximation in evolutionary computation\u2014a survey. In: Proceedings of genetic and evolutionary computation conference, pp 1105\u20131112, New York"},{"issue":"2","key":"90_CR24","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.swevo.2011.05.001","volume":"1","author":"Y Jin","year":"2011","unstructured":"Jin Y (2011) Surrogate-assisted evolutionary computation: recent advances and future challenges. Swarm Evol Comput 1(2): 61\u201370","journal-title":"Swarm Evol Comput"},{"issue":"4","key":"90_CR25","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1109\/TEVC.2005.859465","volume":"10","author":"I Paenke","year":"2006","unstructured":"Paenke I, Branke J, Jin Y (2006) Efficient search for robust solutions by means of evolutionary algorithms and fitness approximation. IEEE Trans Evol Comput 10(4): 405\u2013420","journal-title":"IEEE Trans Evol Comput"},{"issue":"4","key":"90_CR26","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1007\/s10710-006-9013-7","volume":"7","author":"D Lim","year":"2006","unstructured":"Lim D, Ong YS, Jin Y, Sendhoff B, Lee BS (2006) Inverse multi-objective robust evolutionary optimization. Genet Program Evol Mach 7(4): 383\u2013404","journal-title":"Genet Program Evol Mach"},{"issue":"5","key":"90_CR27","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1109\/TEVC.2011.2132725","volume":"15","author":"XS Chen","year":"2011","unstructured":"Chen XS, Ong YS, Lim MH, Tan KC (2011) A multi-facet survey on memetic computation. IEEE Trans Evol Comput 15(5): 591\u2013607","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"90_CR28","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1109\/MCI.2010.936309","volume":"5","author":"YS Ong","year":"2010","unstructured":"Ong YS, Lim MH, Chen XS (2010) Research frontier: memetic computation\u2014past, present & future. IEEE Comput Intell Mag 5(2): 24\u201336","journal-title":"IEEE Comput Intell Mag"},{"issue":"4","key":"90_CR29","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1109\/TEVC.2005.859464","volume":"10","author":"YS Ong","year":"2006","unstructured":"Ong YS, Nair PB, Lum KY (2006) Max-min surrogate-assisted evolutionary algorithm for robust design. IEEE Trans Evol Comput 10(4): 392\u2013404","journal-title":"IEEE Trans Evol Comput"},{"key":"90_CR30","doi-asserted-by":"crossref","unstructured":"Le MN, Ong YS, Menzel S, Jin Y, Sendhoff B (2012) Evolution by adapting surrogates. Evol Comput (accepted)","DOI":"10.1162\/EVCO_a_00079"},{"issue":"1","key":"90_CR31","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1109\/MCI.2011.2176995","volume":"7","author":"MN Le","year":"2012","unstructured":"Le MN, Ong YS, Jin Y, Sendhoff B (2012) A unified framework for symbiosis of evolutionary mechanisms with application to water clusters potential model design. IEEE Comput Intell Mag 7(1): 20\u201335","journal-title":"IEEE Comput Intell Mag"},{"issue":"3","key":"90_CR32","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1007\/s12293-009-0016-9","volume":"1","author":"MN Le","year":"2009","unstructured":"Le MN, Ong YS, Jin Y, Sendhoff B (2009) Lamarckian memetic algorithms: local optimum and connectivity structure analysis. Memet Comput J 1(3): 175\u2013190","journal-title":"Memet Comput J"},{"key":"90_CR33","doi-asserted-by":"crossref","unstructured":"Branke J (1999) Memory enhanced evolutionary algorithms for changing optimization problems. In: Proceedings of the 1999 IEEE congress on evolutionary computation, vol 3, pp 1875\u20131882","DOI":"10.1109\/CEC.1999.785502"},{"key":"90_CR34","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-3-540-49774-5_1","volume-title":"Evolutionary computation in dynamic and uncertain environments, chapter 1","author":"S Yang","year":"2007","unstructured":"Yang S (2007) Explicit memory schemes for evolutionary algorithms in dynamic environments. In: Yang S, Ong Y-S, Jin Y (eds) Evolutionary computation in dynamic and uncertain environments, chapter 1. Springer, Berlin, pp 3\u201328"},{"key":"90_CR35","first-page":"59","volume-title":"Genetic algorithms","author":"DE Goldberg","year":"1987","unstructured":"Goldberg DE, Smith RE (1987) Nonstationary function optimization using genetic algorithms with dominance and diploidy. In: Grefenstette JJ (ed) Genetic algorithms. Lawrence Erlbaum, Mahwah, pp 59\u201368"},{"key":"90_CR36","doi-asserted-by":"crossref","unstructured":"Hadad BS, Eick CF et\u00a0al (1997) Supporting polyploidy in genetic algorithms using dominance vectors. In: Angeline PJ (ed) Evolutionary programming. LNCS, vol 1213. Springer, Berlin, pp 223\u2013234","DOI":"10.1007\/BFb0014814"},{"key":"90_CR37","doi-asserted-by":"crossref","unstructured":"Lewis J, Hart E, Ritchie G (1998) A comparison of dominance mechanisms and simple mutation on nonstationary problems. In: Eiben AE, B\u00e4ck T, Schoenauer M, Schwefel H-P (eds) Parallel problem solving from nature. LNCS, vol 1498. Springer, Berlin, pp 139\u2013148","DOI":"10.1007\/BFb0056857"},{"key":"90_CR38","unstructured":"Ryan C (1997) Diploidy without dominance. In: Alander JT (ed.) Proceedings of 3rd Nordic workshop genetic algorithms, pp 63\u201370"},{"key":"90_CR39","doi-asserted-by":"crossref","unstructured":"Cobb HG (1990) An investigation into the use of hypermutation as an adaptive operator in genetic algorithms having continuous, time-dependent nonstationary environments. Naval Res Lab, Washington, DC, Tech. Rep. AIC-90-001","DOI":"10.21236\/ADA229159"},{"key":"90_CR40","doi-asserted-by":"crossref","unstructured":"Jin Y, Sendhoff B (2004) Constructing dynamic test problems using the multi-objective optimization concept. In: Applications of Evolutionary Computing. LNCS, vol 3005. Springer, Berlin, pp 525\u2013536","DOI":"10.1007\/978-3-540-24653-4_53"},{"issue":"3","key":"90_CR41","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1007\/s11633-007-0243-9","volume":"4","author":"S Yang","year":"2007","unstructured":"Yang S, Tin\u00f3s R (2007) A hybrid immigrants scheme for genetic algorithms in dynamic environments. Int J Autom Comput 4(3): 243\u2013254","journal-title":"Int J Autom Comput"},{"key":"90_CR42","unstructured":"Yu X, Tang K, Yao X (2008) An immigrants scheme based on environmental information for genetic algorithms in changing environments. In: Proceedings of the 2008 IEEE congress on evolutionary computation, pp 1141\u20131147"},{"key":"90_CR43","doi-asserted-by":"crossref","unstructured":"Branke J, Kau\u00dfler T, Schmidt C, Schmeck H (2000) A multipopulation approach to dynamic optimization problems. In: Adaptive computing in design and manufacturing 2000. LNCS. Springer, Berlin","DOI":"10.1007\/978-1-4471-0519-0_24"},{"key":"90_CR44","unstructured":"Ursem RK (2000) Multinational GA optimization techniques in dynamic environments. In: Whitley D et\u00a0al (eds) Proceedings of genetic and evolutionary computation conference, pp 19\u201326"},{"key":"90_CR45","doi-asserted-by":"crossref","unstructured":"Simpson T, Mauery T, Korte J, Mistree F (1998) Comparison of response surface and Kriging models for multidisciplinary design optimization. Technical Report 98-4755, AIAA","DOI":"10.2514\/6.1998-4755"},{"issue":"1","key":"90_CR46","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s00500-003-0328-5","volume":"9","author":"Y Jin","year":"2005","unstructured":"Jin Y (2005) A comprehensive survey of fitness approximation in evolutionary computation. Soft Comput 9(1): 3\u201312","journal-title":"Soft Comput"},{"issue":"2","key":"90_CR47","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1109\/MCI.2009.932254","volume":"4","author":"R Sapankevych N Sankar","year":"2009","unstructured":"Sapankevych N Sankar R (2009) Time series prediction using support vector machines: a survey. IEEE Comput Intell Mag 4(2): 24\u201338","journal-title":"IEEE Comput Intell Mag"},{"key":"90_CR48","unstructured":"MacQueen J (1967) Some methods for classification and analysis of multivariate observations. In: Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, University of California Press, Berkeley, pp 281\u2013297"},{"key":"90_CR49","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/S0378-3758(00)00105-1","volume":"90","author":"KQ Ye","year":"2000","unstructured":"Ye KQ, Li W, Sudjianto A (2000) Algorithmic construction of optimal symmetric Latin hypercube designs. J Stat Plan Inference 90: 145\u2013159","journal-title":"J Stat Plan Inference"},{"issue":"2","key":"90_CR50","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1109\/72.80341","volume":"2","author":"S Chen","year":"1991","unstructured":"Chen S, Cowan CFN, Grant PM (1991) Orthogonal least squares learning algorithm for radial basis function networks. IEEE Trans Neural Netw 2(2): 302\u2013309","journal-title":"IEEE Trans Neural Netw"},{"issue":"1","key":"90_CR51","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1109\/72.478403","volume":"7","author":"ES Chng","year":"1996","unstructured":"Chng ES, Chen S, Mulgrew B (1996) Gradient radial basis function networks for nonlinear and nonstationary time series prediction. IEEE Trans Neural Netw 7(1): 190\u2013194","journal-title":"IEEE Trans Neural Netw"},{"key":"90_CR52","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of the IEEE international conference on neural networks, vol 4, pp 1942\u20131948","DOI":"10.1109\/ICNN.1995.488968"},{"key":"90_CR53","volume-title":"Swarm intelligence","author":"J Kennedy","year":"2001","unstructured":"Kennedy J, Eberhart RC (2001) Swarm intelligence. Morgan Kaufmann, San Fransisco"},{"issue":"4","key":"90_CR54","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1109\/TEVC.2005.859468","volume":"10","author":"D Parrott","year":"2006","unstructured":"Parrott D, Li X (2006) Locating and tracking multiple dynamic optima by a particle swarm model using speciation. IEEE Trans Evol Comput 10(4): 440\u2013458","journal-title":"IEEE Trans Evol Comput"},{"key":"90_CR55","doi-asserted-by":"crossref","unstructured":"Bird S, Li X (2006) Enhancing the robustness of a species-based PSO. In: Proceedings of the 2006 IEEE congress on evolutionary computation, pp 843\u2013850","DOI":"10.1109\/CEC.2006.1688399"},{"key":"90_CR56","doi-asserted-by":"crossref","unstructured":"Petrowski A (1996) A clearing procedure as a niching method for genetic algorithms. In: Proceedings of the IEEE international conference on evolutionary computation, pp 798\u2013803","DOI":"10.1109\/ICEC.1996.542703"},{"issue":"1","key":"90_CR57","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/4235.985692","volume":"6","author":"M Clerc","year":"2002","unstructured":"Clerc M, Kenndy J (2002) The particle swarm\u2014explosion, stability, and convergence in a multidimensional complex space. IEEE Trans Evol Comput 6(1): 58\u201373","journal-title":"IEEE Trans Evol Comput"},{"key":"90_CR58","doi-asserted-by":"crossref","unstructured":"Bird S, Li X (2007) Using regression to improve local convergence. In: Proceedings of the 2007 IEEE congress on evolutionary computation, pp 592\u2013599","DOI":"10.1109\/CEC.2007.4424524"},{"key":"90_CR59","doi-asserted-by":"crossref","unstructured":"Hoare CAR (1962) Quicksort. Comput J 5(1):10\u201315","DOI":"10.1093\/comjnl\/5.1.10"},{"key":"90_CR60","volume-title":"Matrix computations","author":"GH Goloub","year":"1996","unstructured":"Goloub GH, Loan CF (1996) Matrix computations, 3rd edn. The John Hopkins Press, Baltimore","edition":"3"},{"key":"90_CR61","volume-title":"Numerical recipes in C: the art of scientific computing, 2nd edn","author":"WH Press","year":"1992","unstructured":"Press WH, Teukolsky SA, Vetterling WT, Flannery BP (1992) Numerical recipes in C: the art of scientific computing, 2nd edn. Cambridge Univ. Press, Cambridge"},{"key":"90_CR62","unstructured":"Li C, Yang S, Nguyen TT, Yu EL, Yao X, Jin Y, Beyer H-G, Suganthan PN (2008) Benchmark generator for CEC\u20192009 competition on dynamic optimization, Technical Report 2008, Department of Computer Science, University of Leicester, UK"},{"issue":"3","key":"90_CR63","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/0303-2647(96)01621-8","volume":"39","author":"R Salomon","year":"1996","unstructured":"Salomon R (1996) Reevaluating genetic algorithm performance under coordinate rotation of benchmark functions: A survey of some theoretical and practical aspects of genetic algorithms. BioSystems 39(3): 263\u2013278","journal-title":"BioSystems"},{"key":"90_CR64","unstructured":"Hu X, Eberhart RC (2002) Adaptive particle swarm optimization: Detection and response to dynamic systems. In: Proceedings of the 2002 IEEE congress on evolutionary computation, pp 1666\u2013 1670"},{"key":"90_CR65","doi-asserted-by":"crossref","unstructured":"Richter H (2009) Detecting change in dynamic fitness landscapes. In: Proceedings of the 2009 IEEE congress on evolutionary computation, pp 1613\u20131620","DOI":"10.1109\/CEC.2009.4983135"},{"key":"90_CR66","unstructured":"Fu H, Sendhoff B, Tang K, Yao X (2012) Characterizing environmental changes in robust optimization over time. Congress on Evolutionary Computation"},{"key":"90_CR67","doi-asserted-by":"crossref","unstructured":"Jin Y, Sendhoff B (2003) Trade-off between performance and robustness: an evolutionary multiobjective approach. In: Proceedings of second international conference on evolutionary multi-criteria optimization. LNCS, vol 2632. Springer, Berlin, pp 237\u2013251, Faro","DOI":"10.1007\/3-540-36970-8_17"},{"issue":"3","key":"90_CR68","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/MCI.2009.933094","volume":"4","author":"Y Jin","year":"2009","unstructured":"Jin Y, Sendhoff B (2009) A systems approach to evolutionary multi-objective structural optimization and beyond. IEEE Comput Intell Mag 4(3): 62\u201376","journal-title":"IEEE Comput Intell Mag"}],"container-title":["Memetic Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12293-012-0090-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12293-012-0090-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12293-012-0090-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,28]],"date-time":"2024-04-28T22:07:13Z","timestamp":1714342033000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12293-012-0090-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,9,4]]},"references-count":68,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2013,3]]}},"alternative-id":["90"],"URL":"https:\/\/doi.org\/10.1007\/s12293-012-0090-2","relation":{},"ISSN":["1865-9284","1865-9292"],"issn-type":[{"value":"1865-9284","type":"print"},{"value":"1865-9292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,9,4]]}}}