{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T17:10:10Z","timestamp":1751735410435,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T00:00:00Z","timestamp":1530835200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100004329","name":"Javna Agencija za Raziskovalno Dejavnost RS","doi-asserted-by":"publisher","award":["P2-0209, Z2-8177"],"award-info":[{"award-number":["P2-0209, Z2-8177"]}],"id":[{"id":"10.13039\/501100004329","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,7,6]]},"DOI":"10.1145\/3205651.3207891","type":"proceedings-article","created":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T19:30:44Z","timestamp":1530905444000},"page":"858-879","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Visualization in multiobjective optimization"],"prefix":"10.1145","author":[{"given":"Bogdan","family":"Filipi\u010d","sequence":"first","affiliation":[{"name":"Jo\u017eef Stefan Institute, Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tea","family":"Tu\u0161ar","sequence":"additional","affiliation":[{"name":"Jo\u017eef Stefan Institute, Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,7,6]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3205455.3205607"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2014.2313407"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"T. Tu\u0161ar and B. Filipi\u010d. <b>Visualizing exact and approximated 3D empirical attainment functions.<\/b> Mathematical Problems in Engineering Article ID 569346 18 pages 2014. T. Tu\u0161ar and B. Filipi\u010d. <b>Visualizing exact and approximated 3D empirical attainment functions.<\/b> Mathematical Problems in Engineering Article ID 569346 18 pages 2014.","DOI":"10.1155\/2014\/569346"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54157-0_8"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"G. Agrawal C. L. Bloebaum and K. Lewis. <b>Intuitive design selection using visualized n-dimensional Pareto frontier.<\/b> American Institute of Aeronautics and Astronautics 2005. G. Agrawal C. L. Bloebaum and K. Lewis. <b>Intuitive design selection using visualized n-dimensional Pareto frontier.<\/b> American Institute of Aeronautics and Astronautics 2005.","DOI":"10.2514\/6.2005-1813"},{"key":"e_1_3_2_1_6_1","unstructured":"K. H. Ang G. Chong and Y. Li. <b>Visualization technique for analyzing nondominated set comparison.<\/b> SEAL '02 pages 36--40 2002. K. H. Ang G. Chong and Y. Li. <b>Visualization technique for analyzing nondominated set comparison.<\/b> SEAL '02 pages 36--40 2002."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/IHMSC.2012.183"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2008.06.010"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.12.039"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"P.-W. Chiu and C. Bloebaum. <b>Hyper-radial visualization (HRV) method with range-based preferences for multi-objective decision making.<\/b> Structural and Multidisciplinary Optimization 40(1-6):97--115 2010. P.-W. Chiu and C. Bloebaum. <b>Hyper-radial visualization (HRV) method with range-based preferences for multi-objective decision making.<\/b> Structural and Multidisciplinary Optimization 40(1-6):97--115 2010.","DOI":"10.1007\/s00158-009-0361-9"},{"volume-title":"Peters","year":"2006","author":"Engel K.","key":"e_1_3_2_1_11_1"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.016"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"J. E. Fieldsend and R. M. Everson. <b>Visualising high-dimensional Pareto relationships in two-dimensional scatterplots.<\/b> EMO 2013 pages 558--572 2013. J. E. Fieldsend and R. M. Everson. <b>Visualising high-dimensional Pareto relationships in two-dimensional scatterplots.<\/b> EMO 2013 pages 558--572 2013.","DOI":"10.1007\/978-3-642-37140-0_42"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.11.044"},{"key":"e_1_3_2_1_15_1","unstructured":"S. Greco K. Klamroth J. D. Knowles and G. Rudolph. <b>Understanding complexity in multiobjective optimization (Dagstuhl seminar 15031).<\/b> Dagstuhl Reports pages 96--163 2015. S. Greco K. Klamroth J. D. Knowles and G. Rudolph. <b>Understanding complexity in multiobjective optimization (Dagstuhl seminar 15031).<\/b> Dagstuhl Reports pages 96--163 2015."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"C. M. Fonseca and P. J. Fleming. <b>On the performance assessment and comparison of stochastic multiobjective optimizers.<\/b> PPSN IV pages 584--593 1996. C. M. Fonseca and P. J. Fleming. <b>On the performance assessment and comparison of stochastic multiobjective optimizers.<\/b> PPSN IV pages 584--593 1996.","DOI":"10.1007\/3-540-61723-X_1022"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"V. D. Grunert da Fonseca C. M. Fonseca and A. O. Hall <b>Inferential performance assessment of stochastic optimisers and the attainment function.<\/b> EMO 2001 pages 213--225 2001. V. D. Grunert da Fonseca C. M. Fonseca and A. O. Hall <b>Inferential performance assessment of stochastic optimisers and the attainment function.<\/b> EMO 2001 pages 213--225 2001.","DOI":"10.1007\/3-540-44719-9_15"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1162\/EVCO_a_00188"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2015.2472283"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"P. E. Hoffman G. G. Grinstein K. Marx I. Grosse and E. Stanley. <b>DNA visual and analytic data mining.<\/b> Conference on Visualization pages 437--441 1997. P. E. Hoffman G. G. Grinstein K. Marx I. Grosse and E. Stanley. <b>DNA visual and analytic data mining.<\/b> Conference on Visualization pages 437--441 1997.","DOI":"10.1109\/VISUAL.1997.663916"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"A. Ibrahim S. Rahnamayan M. V. Martin K. Deb. <b>3D-RadVis: Visualization of Pareto front in many-objective optimization<\/b> CEC 2016 pages 736--745 2016. A. Ibrahim S. Rahnamayan M. V. Martin K. Deb. <b>3D-RadVis: Visualization of Pareto front in many-objective optimization<\/b> CEC 2016 pages 736--745 2016.","DOI":"10.1109\/CEC.2016.7743865"},{"volume-title":"USA","year":"2009","author":"Inselberg A.","key":"e_1_3_2_1_22_1"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISDA.2005.15"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"T. Kohonen. <b>Self-Organizing Maps.<\/b> Springer Series in Information Sciences 2001. T. Kohonen. <b> Self-Organizing Maps. <\/b> Springer Series in Information Sciences 2001.","DOI":"10.1007\/978-3-642-56927-2"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"R. H. Koochaksaraei I. R. Meneghini V. N. Coelho and F. G. Guimar\u00e3es. <b>A new visualization method in many-objective optimization with chord diagram and angular mapping.<\/b> Knowledge-Based Systems 138:134--154 2017. R. H. Koochaksaraei I. R. Meneghini V. N. Coelho and F. G. Guimar\u00e3es. <b>A new visualization method in many-objective optimization with chord diagram and angular mapping.<\/b> Knowledge-Based Systems 138:134--154 2017.","DOI":"10.1016\/j.knosys.2017.09.035"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"M. K\u00f6ppen and K. Yoshida. <b>Visualization of Pareto-sets in evolutionary multi-objective optimization.<\/b> HIS 2007 pages 156--161 2007. M. K\u00f6ppen and K. Yoshida. <b>Visualization of Pareto-sets in evolutionary multi-objective optimization.<\/b> HIS 2007 pages 156--161 2007.","DOI":"10.1109\/HIS.2007.62"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"F. Kudo and T. Yoshikawa. <b>Knowledge extraction in multi-objective optimization problem based on visualization of Pareto solutions.<\/b> CEC 2012 6 pages 2012. F. Kudo and T. Yoshikawa. <b>Knowledge extraction in multi-objective optimization problem based on visualization of Pareto solutions.<\/b> CEC 2012 6 pages 2012.","DOI":"10.1109\/CEC.2012.6256449"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"M. L\u00f3pez-Ib\u00e1\u00f1ez L. Paquete and T. St\u00fctzle. <b>Exploratory analysis of stochastic local search algorithms in biobjective optimization.<\/b> Experimental Methods for the Analysis of Optimization Algorithms pages 209--222 2010. M. L\u00f3pez-Ib\u00e1\u00f1ez L. Paquete and T. St\u00fctzle. <b>Exploratory analysis of stochastic local search algorithms in biobjective optimization.<\/b> Experimental Methods for the Analysis of Optimization Algorithms pages 209--222 2010.","DOI":"10.1007\/978-3-642-02538-9_9"},{"volume-title":"USA","year":"2004","author":"Lotov A. V.","key":"e_1_3_2_1_29_1"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"D. Lowe and M. E. Tipping. <b>Feed-forward neural networks and topographic mappings for exploratory data analysis.<\/b> Neural Computing & Applications 4(2):83--95 1996. D. Lowe and M. E. Tipping. <b>Feed-forward neural networks and topographic mappings for exploratory data analysis.<\/b> Neural Computing & Applications 4(2):83--95 1996.","DOI":"10.1007\/BF01413744"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"J. Meyer-Spradow T. Ropinski J. Mensmann and K. H. Hinrichs. <b>Voreen: A rapid-prototyping environment for ray-casting-based volume visualizations.<\/b> IEEE Computer Graphics and Applications 29(6):6--13 2009. J. Meyer-Spradow T. Ropinski J. Mensmann and K. H. Hinrichs. <b>Voreen: A rapid-prototyping environment for ray-casting-based volume visualizations.<\/b> IEEE Computer Graphics and Applications 29(6):6--13 2009.","DOI":"10.1109\/MCG.2009.130"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00291-012-0297-0"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"S. Obayashi and D. Sasaki. <b>Visualization and data mining of Pareto solutions using self-organizing map.<\/b> EMO 2003 pages 796--809 2003. S. Obayashi and D. Sasaki. <b>Visualization and data mining of Pareto solutions using self-organizing map.<\/b> EMO 2003 pages 796--809 2003.","DOI":"10.1007\/3-540-36970-8_56"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2739480.2754721"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"A. Pryke S. Mostaghim and A. Nazemi. <b>Heatmap visualisation of population based multiobjective algorithms.<\/b> EMO 2007 pages 361--375 2007. A. Pryke S. Mostaghim and A. Nazemi. <b>Heatmap visualisation of population based multiobjective algorithms.<\/b> EMO 2007 pages 361--375 2007.","DOI":"10.1007\/978-3-540-70928-2_29"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/T-C.1969.222678"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"J. B. Tenenbaum V. de Silva and J. C. Langford. <b>A global geometric framework for nonlinear dimensionality reduction.<\/b> Science 290(5500):2319--2323 2000. J. B. Tenenbaum V. de Silva and J. C. Langford. <b>A global geometric framework for nonlinear dimensionality reduction.<\/b> Science 290(5500):2319--2323 2000.","DOI":"10.1126\/science.290.5500.2319"},{"key":"e_1_3_2_1_38_1","unstructured":"K. Trawinski M. Chica D. P. Pancho S. Damas and O. Cordon. <b>moGrams: A network-based methodology for visualizing the set of non-dominated solutions in multiobjective optimization.<\/b> CoRR abs\/1511.08178 2015. K. Trawinski M. Chica D. P. Pancho S. Damas and O. Cordon. <b>moGrams: A network-based methodology for visualizing the set of non-dominated solutions in multiobjective optimization.<\/b> CoRR abs\/1511.08178 2015."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"J. Valdes and A. Barton. <b>Visualizing high dimensional objective spaces for multiobjective optimization: A virtual reality approach.<\/b> CEC 2007 pages 4199--4206) 2007. J. Valdes and A. Barton. <b>Visualizing high dimensional objective spaces for multiobjective optimization: A virtual reality approach.<\/b> CEC 2007 pages 4199--4206) 2007.","DOI":"10.1109\/CEC.2007.4425019"},{"key":"e_1_3_2_1_40_1","unstructured":"Voreen Volume rendering engine. http:\/\/www.voreen.org\/ Voreen Volume rendering engine. http:\/\/www.voreen.org\/"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"crossref","unstructured":"D. J. Walker R. M. Everson and J. E. Fieldsend. <b>Visualisation and ordering of many-objective populations.<\/b> CEC 2010 8 pages 2010. D. J. Walker R. M. Everson and J. E. Fieldsend. <b>Visualisation and ordering of many-objective populations.<\/b> CEC 2010 8 pages 2010.","DOI":"10.1109\/CEC.2010.5586078"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2012.2225064"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2739482.2768445"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/42.41482"},{"key":"e_1_3_2_1_45_1","unstructured":"M. Yamamoto T. Yoshikawa and T. Furuhashi. <b>Study on effect of MOGA with interactive island model using visualization.<\/b> CEC 2010 6 pages 2010. M. Yamamoto T. Yoshikawa and T. Furuhashi. <b>Study on effect of MOGA with interactive island model using visualization.<\/b> CEC 2010 6 pages 2010."}],"event":{"name":"GECCO '18: Genetic and Evolutionary Computation Conference","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"location":"Kyoto Japan","acronym":"GECCO '18"},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3205651.3207891","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3205651.3207891","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T16:43:04Z","timestamp":1751733784000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3205651.3207891"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,6]]},"references-count":45,"alternative-id":["10.1145\/3205651.3207891","10.1145\/3205651"],"URL":"https:\/\/doi.org\/10.1145\/3205651.3207891","relation":{},"subject":[],"published":{"date-parts":[[2018,7,6]]},"assertion":[{"value":"2018-07-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}