Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Jussi Hakanen"'
Interactivized: Visual Interaction for Better Decisions With Interactive Multiobjective Optimization
Autor:
Jussi Hakanen, Sanjin Rados, Giovanni Misitano, Bhupinder S. Saini, Kaisa Miettinen, Kresimir Matkovic
Publikováno v:
IEEE Access, Vol 10, Pp 33661-33678 (2022)
In today’s data-driven world, decision makers are facing many conflicting objectives. Since there is usually no solution that optimizes all objectives simultaneously, the aim is to identify a solution with acceptable trade-offs. Interactive multiob
Externí odkaz:
https://doaj.org/article/22123d12a4144abd9034e5a519a6c541
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
Autor:
Richard Allmendinger, Jussi Hakanen
Publikováno v:
Hakanen, J & Allmendinger, R 2021, ' Multiobjective optimization and decision making in engineering sciences ', Optimization and Engineering, vol. 22, no. 2, pp. 1031-1037 . https://doi.org/10.1007/s11081-021-09627-x
Real-world decision making problems in various fields including engineering sciences are becoming ever more challenging to address. The consideration of various competing criteria related to, for example, business, technical, workforce, safety and en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66220662418e859911c5477a85385978
https://doi.org/10.1007/s11081-021-09627-x
https://doi.org/10.1007/s11081-021-09627-x
Publikováno v:
Journal of the Operational Research Society. 72:2073-2090
We study how visual interaction techniques considered in visual analytics can be utilized when implementing interactive multiobjective optimization methods, where a decision maker iteratively participates in the solution process. We want to benefit f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6ce1eb9c80e7f2c171a919c3be80aae
https://doi.org/10.1080/01605682.2020.1768809
https://doi.org/10.1080/01605682.2020.1768809
Autor:
Bhupinder Singh Saini, Giovanni Misitano, Jussi Hakanen, Kaisa Miettinen, Kresimir Matkovic, Sanjin Rados
In today’s data-driven world, decision makers are facing many conflicting objectives. Since there is usually no solution that optimizes all objectives simultaneously, the aim is to identify a solution with acceptable trade-offs. Interactive multiob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8388cc7aa54db02cc3cb040c857748a7
http://urn.fi/URN:NBN:fi:jyu-202203282094
http://urn.fi/URN:NBN:fi:jyu-202203282094
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
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 33:2007-2018
Developing environmental conservation plans involves assessing trade-offs between the benefits and costs of conservation. The benefits of conservation can be established with ecological inventories or estimated based on previously collected informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2920e1c012b6228fe592d94157b8fabd
https://doi.org/10.1007/s00477-019-01745-4
https://doi.org/10.1007/s00477-019-01745-4
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
Autor:
Jussi Hakanen, Kaisa Miettinen, Markus Hartikainen, Giulia Saccani, Vesa Ojalehto, Karthik Sindhya, Manuela Antonelli
The design of water treatment plants requires simultaneous analysis of technical, economic and environmental aspects, identified by multiple conflicting objectives. We demonstrated the advantages of an interactive multiobjective optimization (MOO) me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6eb9c2e7c78461591d9ab9a2072f8c2
http://hdl.handle.net/11311/1123817
http://hdl.handle.net/11311/1123817
Publikováno v:
Parallel Problem Solving from Nature – PPSN XVI ISBN: 9783030581145
PPSN (2)
PPSN (2)
Over the years, scalarization functions have been used to solve multiobjective optimization problems by converting them to one or more single objective optimization problem(s). This study proposes a novel idea of solving multiobjective optimization p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed63a25f6265973d6834ff773c5ecff9
https://doi.org/10.1007/978-3-030-58115-2_17
https://doi.org/10.1007/978-3-030-58115-2_17