{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T10:48:47Z","timestamp":1648810127323},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2014,9,6]],"date-time":"2014-09-06T00:00:00Z","timestamp":1409961600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Optim Lett"],"published-print":{"date-parts":[[2015,8]]},"DOI":"10.1007\/s11590-014-0786-y","type":"journal-article","created":{"date-parts":[[2014,9,5]],"date-time":"2014-09-05T05:15:30Z","timestamp":1409894130000},"page":"1091-1103","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Bi-objective hypervolume-based Pareto optimization"],"prefix":"10.1007","volume":"9","author":[{"given":"Rajan","family":"Filomeno Coelho","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,9,6]]},"reference":[{"issue":"7","key":"786_CR1","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.1007\/s11590-012-0551-z","volume":"7","author":"LP Assis","year":"2013","unstructured":"Assis, L.P., Maravilha, A.L., Vivas, A., Campelo, F., Ram\u00edrez, J.A.: Multiobjective vehicle routing problem with fixed delivery and optional collections. Optim. Lett. 7(7), 1419\u20131431 (2013)","journal-title":"Optim. Lett."},{"key":"786_CR2","doi-asserted-by":"crossref","unstructured":"Auger, A., Bader, J., Brockhoff, D., Zitzler, E.: Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences. In: Genetic and Evolutionary Computation Conference (GECCO 2009), Montreal, Canada, July 8\u201312, vol. 2632, pp. 519\u2013533 (2009)","DOI":"10.1145\/1569901.1569980"},{"key":"786_CR3","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.tcs.2011.03.012","volume":"425","author":"A Auger","year":"2012","unstructured":"Auger, A., Bader, J., Brockhoff, D., Zitzler, E.: Hypervolume-based multiobjective optimization: theoretical foundations and practical implications. Theor. Comput. Sci. 425, 75\u2013103 (2012)","journal-title":"Theor. Comput. Sci."},{"issue":"3","key":"786_CR4","doi-asserted-by":"crossref","first-page":"1653","DOI":"10.1016\/j.ejor.2006.08.008","volume":"181","author":"N Beume","year":"2007","unstructured":"Beume, N., Naujoks, B., Emmerich, M.: SMS-EMOA: multiobjective selection based on dominated hypervolume. Eur. J. Oper. Res. 181(3), 1653\u20131669 (2007)","journal-title":"Eur. J. Oper. Res."},{"key":"786_CR5","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.tcs.2010.09.026","volume":"425","author":"K Bringmann","year":"2012","unstructured":"Bringmann, K., Friedrich, T.: Approximating the least hypervolume contributor: NP-hard in general, but fast in practice. Theor. Comput. Sci. 425, 104\u2013116 (2012)","journal-title":"Theor. Comput. Sci."},{"key":"786_CR6","doi-asserted-by":"crossref","unstructured":"Brockhoff, D., Friedrich, T., Neumann, F.: Analyzing hypervolume indicator based algorithms. In: Parallel Problem Solving from Nature\u2014PPSN X, pp. 651\u2013660 (2008)","DOI":"10.1007\/978-3-540-87700-4_65"},{"issue":"5","key":"786_CR7","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1109\/TEVC.2011.2132725","volume":"15","author":"XS Chen","year":"2011","unstructured":"Chen, X.S., Ong, Y.S., Lim, M.H., Tan, K.C.: A multi-facet survey on memetic computation. IEEE T Evolut. Comput. 15(5), 591\u2013607 (2011)","journal-title":"IEEE T Evolut. Comput."},{"key":"786_CR8","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-5184-0","volume-title":"Evolutionary Algorithms for Solving Multi-Objective Problems","author":"CA Coello Coello","year":"2002","unstructured":"Coello Coello, C.A., Van Veldhuizen, D.A., Lamont, G.B.: Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer Academic\/Plenum Publishers, New York (2002)"},{"key":"786_CR9","first-page":"284","volume-title":"First International Conference on Evolutionary Multi-Criterion Optimization, EMO 2001","author":"K Deb","year":"2001","unstructured":"Deb, K.: Constrained test problems for multi-objective evolutionary optimization. In: Zitzler, E., Deb, K., Thiele, L., Coello Coello, C.A., Corne, D. (eds.) First International Conference on Evolutionary Multi-Criterion Optimization, EMO 2001, pp. 284\u2013298. Springer, Zurich (2001)"},{"issue":"2","key":"786_CR10","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.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE T Evolut. Comput. 6(2), 182\u2013197 (2002)","journal-title":"IEEE T Evolut. Comput."},{"issue":"1","key":"786_CR11","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/s00158-012-0876-3","volume":"48","author":"B Descamps","year":"2013","unstructured":"Descamps, B., Filomeno Coelho, R.: A lower-bound formulation for the geometry and topology optimization of truss structures under multiple loading. Struct. Multidiscip. O 48(1), 49\u201358 (2013)","journal-title":"Struct. Multidiscip. O"},{"key":"786_CR12","doi-asserted-by":"crossref","unstructured":"Emmerich, M., Deutz, A., Beume, N.: Gradient-based\/evolutionary relay hybrid for computing Pareto front approximations maximizing the S-metric. In: Proceedings of the 4th International Conference on Hybrid Metaheuristics, Dortmund, Germany, October 8\u20139, pp. 140\u2013156 (2007)","DOI":"10.1007\/978-3-540-75514-2_11"},{"key":"786_CR13","doi-asserted-by":"crossref","unstructured":"Fleischer, M.: The measure of Pareto optima. Applications to multi-objective metaheuristics. In: Fonseca, C.M., Fleming, P.J., Zitzler, E., Thiele, L., Deb, K. (eds.) Evolutionary Multi-Criterion Optimization, LNCS, vol. 2632, pp. 519\u2013533. Springer (2003)","DOI":"10.1007\/3-540-36970-8_37"},{"key":"786_CR14","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1007\/s001860000043","volume":"51","author":"J Fliege","year":"2000","unstructured":"Fliege, J., Svaiter, B.F.: Steepest descent methods for multicriteria optimization. Math. Methods Oper. Res. 51, 479\u2013494 (2000)","journal-title":"Math. Methods Oper. Res."},{"key":"786_CR15","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/j.cam.2004.06.018","volume":"175","author":"LM Gra\u00f1a Drummond","year":"2005","unstructured":"Gra\u00f1a Drummond, L.M., Svaiter, B.F.: A steepest descent method for vector optimization. J. Comput. Appl. Math. 175, 395\u2013414 (2005)","journal-title":"J. Comput. Appl. Math."},{"issue":"4","key":"786_CR16","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1007\/s11590-011-0291-5","volume":"6","author":"PM Pardalos","year":"2012","unstructured":"Pardalos, P.M., Steponavi\u010d\u0117, I., Z\u0306ilinskas, A.: Pareto set approximation by the method of adjustable weights and successive lexicographic goal programming. Optim. Lett. 6(4), 665\u2013678 (2012)","journal-title":"Optim. Lett."},{"key":"786_CR17","doi-asserted-by":"crossref","unstructured":"Z\u0306ilinskas, A.: A one-step worst-case optimal algorithm for bi-objective univariate optimization. Optim. Lett. (2013). Published online","DOI":"10.1007\/s11590-013-0712-8"},{"key":"786_CR18","volume-title":"Numerical Optimization","author":"S Wright","year":"1999","unstructured":"Wright, S., Nocedal, J.: Numerical Optimization. Springer, New York (1999)"},{"key":"786_CR19","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.: Multiobjective evolutionary algorithms: a survey of the state of the art. Swarm Evolut. Comput. 1, 32\u201349 (2011)","journal-title":"Swarm Evolut. Comput."},{"issue":"2","key":"786_CR20","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.: Performance assessment of multiobjective optimizers: an analysis and review. IEEE T Evolut. Comput. 7(2), 117\u2013132 (2003)","journal-title":"IEEE T Evolut. Comput."}],"container-title":["Optimization Letters"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11590-014-0786-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11590-014-0786-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11590-014-0786-y","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,14]],"date-time":"2019-08-14T17:47:12Z","timestamp":1565804832000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11590-014-0786-y"}},"subtitle":["A gradient-based approach as an alternative to evolutionary algorithms"],"short-title":[],"issued":{"date-parts":[[2014,9,6]]},"references-count":20,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2015,8]]}},"alternative-id":["786"],"URL":"https:\/\/doi.org\/10.1007\/s11590-014-0786-y","relation":{},"ISSN":["1862-4472","1862-4480"],"issn-type":[{"value":"1862-4472","type":"print"},{"value":"1862-4480","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,9,6]]}}}