Zobrazeno 1 - 7
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pro vyhledávání: '"Atanu Mazumdar"'
For offline data-driven multiobjective optimization problems (MOPs), no new data is available during the optimization process. Approximation models (or surrogates) are first built using the provided offline data and an optimizer, e.g. a multiobjectiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b81c9a3e3b4e46da7eef06c74f626f9
http://urn.fi/URN:NBN:fi:jyu-202306133715
http://urn.fi/URN:NBN:fi:jyu-202306133715
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
© 2022 Copyright held by the owner/author(s). Incorporating the preferences of a domain expert, a decision-maker (DM), in solving multiobjective optimization problems increased in popularity in recent years. The DM can choose to use different types
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14a6c9ae59d99e9ba38e02e8aaefc617
https://doi.org/10.1145/3520304.3534008
https://doi.org/10.1145/3520304.3534008
In offline data-driven multiobjective optimization, no new data is available during the optimization process. Approximation models, also known as surrogates, are built using the provided offline data. A multiobjective evolutionary algorithm can be ut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5928d01c1c9616934d8fabf43296addb
http://urn.fi/URN:NBN:fi:jyu-202210054798
http://urn.fi/URN:NBN:fi:jyu-202210054798
Autor:
Bhupinder Singh Saini, Michael Emmerich, Atanu Mazumdar, Bekir Afsar, Babooshka Shavazipour, Kaisa Miettinen
We introduce novel concepts to solve multiobjective optimization problems involving (computationally) expensive function evaluations and propose a new interactive method called O-NAUTILUS. It combines ideas of trade-off free search and navigation (wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2d45539ce8b59d153bfc2f6ee716b05
http://urn.fi/URN:NBN:fi:jyu-202201111077
http://urn.fi/URN:NBN:fi:jyu-202201111077
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030637095
BIOMA
BIOMA
We propose a framework for solving offline data-driven multiobjective optimization problems in an interactive manner. No new data becomes available when solving offline problems. We fit surrogate models to the data to enable optimization, which intro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e69c0b59f13528212a423257ecbf5e9
http://urn.fi/URN:NBN:fi:jyu-202011266788
http://urn.fi/URN:NBN:fi:jyu-202011266788
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030125974
EMO
Mazumdar, A, Chugh, T, Miettinen, K & Lopez-Ibanez, M 2019, On Dealing with Uncertainties from Kriging Models in Offline Data-driven Evolutionary Multiobjective Optimization . in S Mostaghim, C A Coello Coello, K Klamroth, P Reed, K Deb, E Goodman & K Miettinen (eds), Evolutionary Multi-Criterion Optimization-10th International Conference, EMO 2019, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11411 LNCS, pp. 463-474, 10th International Conference on Evolutionary Multi-Criterion Optimization, East Lansing, United States, 10/03/19 . https://doi.org/10.1007/978-3-030-12598-1_37
EMO
Mazumdar, A, Chugh, T, Miettinen, K & Lopez-Ibanez, M 2019, On Dealing with Uncertainties from Kriging Models in Offline Data-driven Evolutionary Multiobjective Optimization . in S Mostaghim, C A Coello Coello, K Klamroth, P Reed, K Deb, E Goodman & K Miettinen (eds), Evolutionary Multi-Criterion Optimization-10th International Conference, EMO 2019, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11411 LNCS, pp. 463-474, 10th International Conference on Evolutionary Multi-Criterion Optimization, East Lansing, United States, 10/03/19 . https://doi.org/10.1007/978-3-030-12598-1_37
Many works on surrogate-assisted evolutionary multiobjective optimization have been devoted to problems where function evaluations are time-consuming (e.g., based on simulations). In many real-life optimization problems, mathematical or simulation mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b6b5b1fb3c290a9c3a4a495428bb6ea
http://urn.fi/URN:NBN:fi:jyu-201903221932
http://urn.fi/URN:NBN:fi:jyu-201903221932
Autor:
Atanu Mazumdar, Prodyut Dhar
Publikováno v:
2012 1st International Symposium on Physics and Technology of Sensors (ISPTS-1).
Among the alternative fuels, biodiesel and its blends are considered suitable and the most promising fuel for diesel engine. The properties of biodiesel are found similar to that of diesel. Many researchers have experimentally evaluated the performan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::924d7708b3bf9cd438875924816abf2d
https://doi.org/10.1109/ispts.2012.6260958
https://doi.org/10.1109/ispts.2012.6260958