[{"doi":"10.1007/978-3-030-12598-1_11","language":[{"iso":"eng"}],"series_title":"Lecture Notes in Computer Science","date_updated":"2023-10-16T13:31:03Z","intvolume":"     11411","year":"2019","title":"Multimodality in Multi-Objective Optimization — More Boon than Bane?","author":[{"last_name":"Grimme","first_name":"Christian","full_name":"Grimme, Christian"},{"full_name":"Kerschke, Pascal","first_name":"Pascal","last_name":"Kerschke"},{"orcid":"0000-0002-9788-8282","last_name":"Trautmann","first_name":"Heike","full_name":"Trautmann, Heike","id":"100740"}],"type":"conference","department":[{"_id":"34"},{"_id":"819"}],"date_created":"2023-08-04T07:49:08Z","abstract":[{"text":"This paper addresses multimodality of multi-objective (MO) optimization landscapes. Contrary to common perception of local optima, according to which they are hindering the progress of optimization algorithms, it will be shown that local efficient sets in a multi-objective setting can assist optimizers in finding global efficient sets. We use sophisticated visualization techniques, which rely on gradient field heatmaps, to highlight those insights into landscape characteristics. Finally, the MO local optimizer MOGSA is introduced, which exploits those observations by sliding down the multi-objective gradient hill and moving along the local efficient sets.","lang":"eng"}],"publication":"Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)","user_id":"15504","volume":11411,"editor":[{"full_name":"Deb, Kalyanmoy","last_name":"Deb","first_name":"Kalyanmoy"},{"last_name":"Goodman","first_name":"Erik","full_name":"Goodman, Erik"},{"first_name":"Coello Carlos A.","last_name":"Coello","full_name":"Coello, Coello Carlos A."},{"full_name":"Klamroth, Kathrin","first_name":"Kathrin","last_name":"Klamroth"},{"full_name":"Miettinen, Kaisa","first_name":"Kaisa","last_name":"Miettinen"},{"full_name":"Mostaghim, Sanaz","first_name":"Sanaz","last_name":"Mostaghim"},{"full_name":"Reed, Patrick","last_name":"Reed","first_name":"Patrick"}],"page":"126–138","publisher":"Springer","_id":"46343","status":"public","place":"East Lansing, MI, USA","citation":{"ama":"Grimme C, Kerschke P, Trautmann H. Multimodality in Multi-Objective Optimization — More Boon than Bane? In: Deb K, Goodman E, Coello CCA, et al., eds. <i>Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)</i>. Vol 11411. Lecture Notes in Computer Science. Springer; 2019:126–138. doi:<a href=\"https://doi.org/10.1007/978-3-030-12598-1_11\">10.1007/978-3-030-12598-1_11</a>","bibtex":"@inproceedings{Grimme_Kerschke_Trautmann_2019, place={East Lansing, MI, USA}, series={Lecture Notes in Computer Science}, title={Multimodality in Multi-Objective Optimization — More Boon than Bane?}, volume={11411}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-12598-1_11\">10.1007/978-3-030-12598-1_11</a>}, booktitle={Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)}, publisher={Springer}, author={Grimme, Christian and Kerschke, Pascal and Trautmann, Heike}, editor={Deb, Kalyanmoy and Goodman, Erik and Coello, Coello Carlos A. and Klamroth, Kathrin and Miettinen, Kaisa and Mostaghim, Sanaz and Reed, Patrick}, year={2019}, pages={126–138}, collection={Lecture Notes in Computer Science} }","mla":"Grimme, Christian, et al. “Multimodality in Multi-Objective Optimization — More Boon than Bane?” <i>Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)</i>, edited by Kalyanmoy Deb et al., vol. 11411, Springer, 2019, pp. 126–138, doi:<a href=\"https://doi.org/10.1007/978-3-030-12598-1_11\">10.1007/978-3-030-12598-1_11</a>.","short":"C. Grimme, P. Kerschke, H. Trautmann, in: K. Deb, E. Goodman, C.C.A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), Springer, East Lansing, MI, USA, 2019, pp. 126–138.","chicago":"Grimme, Christian, Pascal Kerschke, and Heike Trautmann. “Multimodality in Multi-Objective Optimization — More Boon than Bane?” In <i>Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)</i>, edited by Kalyanmoy Deb, Erik Goodman, Coello Carlos A. Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, 11411:126–138. Lecture Notes in Computer Science. East Lansing, MI, USA: Springer, 2019. <a href=\"https://doi.org/10.1007/978-3-030-12598-1_11\">https://doi.org/10.1007/978-3-030-12598-1_11</a>.","apa":"Grimme, C., Kerschke, P., &#38; Trautmann, H. (2019). Multimodality in Multi-Objective Optimization — More Boon than Bane? In K. Deb, E. Goodman, C. C. A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, &#38; P. Reed (Eds.), <i>Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)</i> (Vol. 11411, pp. 126–138). Springer. <a href=\"https://doi.org/10.1007/978-3-030-12598-1_11\">https://doi.org/10.1007/978-3-030-12598-1_11</a>","ieee":"C. Grimme, P. Kerschke, and H. Trautmann, “Multimodality in Multi-Objective Optimization — More Boon than Bane?,” in <i>Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)</i>, 2019, vol. 11411, pp. 126–138, doi: <a href=\"https://doi.org/10.1007/978-3-030-12598-1_11\">10.1007/978-3-030-12598-1_11</a>."}}]