{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T15:19:31Z","timestamp":1726413571335},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2016,5,18]],"date-time":"2016-05-18T00:00:00Z","timestamp":1463529600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Eureka SD project","award":["2013-2591"],"award-info":[{"award-number":["2013-2591"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ann Oper Res"],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1007\/s10479-016-2221-5","type":"journal-article","created":{"date-parts":[[2016,5,18]],"date-time":"2016-05-18T18:26:54Z","timestamp":1463596014000},"page":"869-893","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Multiobjective variable mesh optimization"],"prefix":"10.1007","volume":"258","author":[{"given":"Yamisleydi","family":"Salgueiro","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jorge L.","family":"Toro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael","family":"Bello","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael","family":"Falcon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,5,18]]},"reference":[{"key":"2221_CR1","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1007\/978-1-4614-6940-7_15","volume-title":"Search Methodologies. Introductory tutorials in optimization and decision support techniques, chap. 15","author":"K Deb","year":"2014","unstructured":"Deb, K. (2014). Multi-objective Optimization. In E. K. Burke & G. Kendall (Eds.), Search Methodologies. Introductory tutorials in optimization and decision support techniques, chap. 15 (pp. 403\u2013449). New York: Springer Science and Business Media."},{"key":"2221_CR2","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/978-3-540-88908-3_3","volume-title":"Multiobjective Optimization, LNCS, chap. 3","author":"K Deb","year":"2008","unstructured":"Deb, K. (2008). Introduction to Evolutionary Multiobjective Optimization. In J. Branke, K. Deb, K. Miettinen, & R. Sowiski (Eds.), Multiobjective Optimization, LNCS, chap. 3 (Vol. 5252, pp. 59\u201396). Berlin Heidelberg: Springer."},{"key":"2221_CR3","doi-asserted-by":"crossref","unstructured":"Deb, K., Thiele, L., Laumanns, M., Zitzler, E., Abraham, A., Jain, L., Goldberg, R. (2005). Scalable test problems for evolutionary multiobjective optimization. Evolutionary multi-objective optimization, pp. 105\u2013145.","DOI":"10.1007\/1-84628-137-7_6"},{"issue":"2","key":"2221_CR4","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182\u2013197.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"1","key":"2221_CR5","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.swevo.2011.02.002","volume":"1","author":"J Derrac","year":"2011","unstructured":"Derrac, J., Garca, S., Molina, D., & Herrera, F. (2011). A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm and Evolutionary Computation, 1(1), 3\u201318.","journal-title":"Swarm and Evolutionary Computation"},{"issue":"10","key":"2221_CR6","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1016\/j.advengsoft.2011.05.014","volume":"42","author":"JJ Durillo","year":"2011","unstructured":"Durillo, J. J., & Nebro, A. J. (2011). JMetal: A Java framework for multi-objective optimization. Advances in Engineering Software, 42(10), 760\u2013771.","journal-title":"Advances in Engineering Software"},{"key":"2221_CR7","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1007\/978-3-540-31880-4_20","volume-title":"Evolutionary Multi-Criterion Optimization, LNCS","author":"S Huband","year":"2005","unstructured":"Huband, S., Barone, L., While, L., & Hingston, P. (2005). A Scalable Multi-objective Test Problem Toolkit. In C. A. Coello, A. H. Aguirre, & E. Zitzler (Eds.), Evolutionary Multi-Criterion Optimization, LNCS (Vol. 3410, pp. 280\u2013295). Berlin Heidelberg: Springer."},{"key":"2221_CR8","unstructured":"Knowles, J., Thiele, L., Zitzler, E. (2006). A tutorial on the performance assessment of stochastic multiobjective optimizers. Technical Report 214."},{"issue":"2","key":"2221_CR9","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1109\/TEVC.2008.925798","volume":"13","author":"H Li","year":"2009","unstructured":"Li, H., & Zhang, Q. (2009). Multiobjective optimization problems with complicated Pareto sets, MOEA\/D and NSGA-II. IEEE Transactions on Evolutionary Computation, 13(2), 284\u2013302.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2221_CR10","first-page":"173","volume-title":"Advances in Differential Evolution, Studies in Computational Intelligence","author":"E Mezura-Montes","year":"2008","unstructured":"Mezura-Montes, E., Reyes-Sierra, M., & Coello, C. (2008). Multi-objective Optimization Using Differential Evolution: A Survey of the State-of-the-Art. In U. Chakraborty (Ed.), Advances in Differential Evolution, Studies in Computational Intelligence (Vol. 143, pp. 173\u2013196). Berlin Heidelberg: Springer."},{"key":"2221_CR11","doi-asserted-by":"crossref","unstructured":"Molina, D., Puris, A., Bello, R., Herrera, F. (2013). Variable mesh optimization for the 2013 CEC special session niching methods for multimodal optimization. In IEEE Congress on Evolutionary Computation (CEC \u201913), pp. 87\u201394.","DOI":"10.1109\/CEC.2013.6557557"},{"key":"2221_CR12","doi-asserted-by":"crossref","unstructured":"Navarro, R., Falcon, R., Murata, T., Hae, K.C. (2015). A generic niching framework for variable mesh optimization. In 2015 IEEE Congress on Evolutionary Computation (CEC \u201915), pp. 1994\u20132001. Sendai, Japan.","DOI":"10.1109\/CEC.2015.7257130"},{"key":"2221_CR13","doi-asserted-by":"crossref","unstructured":"Nebro, A.J., Durillo, J.J., Garcia-Nieto, J., Coello Coello, C.A., Luna, F., Alba, E. (2009). SMPSO: a new PSO-based metaheuristic for multi-objective optimization. In IEEE Symposium on Computational intelligence in Multi-criteria Decision-Making, 2009. mcdm \u201909, pp. 66\u201373.","DOI":"10.1109\/MCDM.2009.4938830"},{"issue":"7","key":"2221_CR14","doi-asserted-by":"crossref","first-page":"726","DOI":"10.1002\/int.20358","volume":"24","author":"AJ Nebro","year":"2009","unstructured":"Nebro, A. J., Durillo, J. J., Luna, F., Dorronsoro, B., & Alba, E. (2009). MOCell: A cellular genetic algorithm for multiobjective optimization. International Journal of Intelligent Systems, 24(7), 726\u2013746.","journal-title":"International Journal of Intelligent Systems"},{"issue":"4","key":"2221_CR15","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1109\/TEVC.2007.913109","volume":"12","author":"AJ Nebro","year":"2008","unstructured":"Nebro, A. J., Luna, F., Alba, E., Dorronsoro, B., Durillo, J. J., & Beham, A. (2008). AbYSS: Adapting scatter search to multiobjective optimization. IEEE Transactions on Evolutionary Computation, 12(4), 439\u2013457.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2221_CR16","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/978-3-642-18965-4_8","volume-title":"Advances in Evolutionary Computing, chap. 8","author":"I Ono","year":"2003","unstructured":"Ono, I., Kita, H., & Kobayashi, S. (2003). A Real-coded Genetic Algorithm using the Unimodal Normal Distribution Crossover. In A. Ghosh & S. Tsutsui (Eds.), Advances in Evolutionary Computing, chap. 8 (pp. 213\u2013237). Berlin Heidelberg: Springer."},{"key":"2221_CR17","volume-title":"Differential Evolution: A Practical Approach to Global Optimization","author":"KV Price","year":"2005","unstructured":"Price, K. V., Storn, R. M., & Lampinen, J. A. (2005). Differential Evolution: A Practical Approach to Global Optimization. New York: Springer."},{"issue":"3","key":"2221_CR18","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1007\/s00500-011-0753-9","volume":"16","author":"A Puris","year":"2012","unstructured":"Puris, A., Bello, R., Molina, D., & Herrera, F. (2012). Variable mesh optimization for continuous optimization problems. Soft Computing, 16(3), 511\u2013525.","journal-title":"Soft Computing"},{"issue":"1","key":"2221_CR19","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"DH Wolper","year":"1996","unstructured":"Wolper, D. H., & Macready, W. G. (1996). No free lunch theorems for optimization. IEEE Transactions on Evolutionary Computation, 1(1), 67\u201382.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2221_CR20","unstructured":"Zhang, Q., Liu, W., Li, H. (2009). The performance of a new version of MOEA\/D on CEC\u201909 unconstrained MOP test instances. In IEEE Congress on Evolutionary Computation (CEC \u201909), pp. 203\u2013208."},{"issue":"6","key":"2221_CR21","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","volume":"11","author":"QZQ Zhang","year":"2007","unstructured":"Zhang, Q. Z. Q., & Li, H. L. H. (2007). MOEA\/D: A Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Transactions on Evolutionary Computation, 11(6), 712\u2013731.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"1","key":"2221_CR22","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.swevo.2011.03.001","volume":"1","author":"A Zhou","year":"2011","unstructured":"Zhou, A., Qu, B. Y., Li, H., Zhao, S. Z., Suganthan, P. N., & Zhang, Q. (2011). Multiobjective evolutionary algorithms: A survey of the state of the art. Swarm and Evolutionary Computation, 1(1), 32\u201349.","journal-title":"Swarm and Evolutionary Computation"},{"key":"2221_CR23","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1007\/978-3-540-88908-3_14","volume-title":"Multiobjective optimization: interactive and evolutionary approaches, LNCS chap. 14","author":"E Zitzler","year":"2008","unstructured":"Zitzler, E., Knowles, J. D., & Thiele, L. (2008). Quality assessment of pareto set approximations. In K. Branke, K. Deb, K. Miettinen, & R. Sowiski (Eds.), Multiobjective optimization: interactive and evolutionary approaches, LNCS chap. 14 (Vol. 5252, pp. 373\u2013404). Berlin Heidelberg: Springer."},{"issue":"2","key":"2221_CR24","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1109\/TEVC.2003.810758","volume":"7","author":"E Zitzler","year":"2003","unstructured":"Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C. M., & da Fonseca, V. G. (2003). Performance assessment of multiobjective optimizers: an analysis and review. IEEE Transactions on Evolutionary Computation, 7(2), 117\u2013132.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2221_CR25","unstructured":"Zitzler Eckart, L.M.T.L. (2001). Spea2: improving the strength pareto evolutionary algorithm for multiobjective optimization. Evolutionary methods for design optimization and control with applications to industrial problems, pp. 95\u2013100."},{"issue":"2","key":"2221_CR26","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1162\/106365600568202","volume":"8","author":"E Zitzler","year":"2000","unstructured":"Zitzler, E., Deb, K., & Thiele, L. (2000). Comparison of Multiobjective Evolutionary Algorithms: Empirical Results. Evolutionary Computation, 8(2), 173\u2013195.","journal-title":"Evolutionary Computation"}],"container-title":["Annals of Operations Research"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10479-016-2221-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-016-2221-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-016-2221-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-016-2221-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,18]],"date-time":"2023-08-18T07:51:25Z","timestamp":1692345085000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10479-016-2221-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,5,18]]},"references-count":26,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2017,11]]}},"alternative-id":["2221"],"URL":"https:\/\/doi.org\/10.1007\/s10479-016-2221-5","relation":{},"ISSN":["0254-5330","1572-9338"],"issn-type":[{"type":"print","value":"0254-5330"},{"type":"electronic","value":"1572-9338"}],"subject":[],"published":{"date-parts":[[2016,5,18]]}}}