NAUTILUS framework : towards trade-off-free interaction in multiobjective optimization
Miettinen, K., & Ruiz, F. (2016). NAUTILUS framework : towards trade-off-free interaction in multiobjective optimization. Journal of Business Economics, 86(1), 5-21. https://doi.org/10.1007/s11573-015-0786-0
Published inJournal of Business Economics
© Springer-Verlag Berlin Heidelberg 2015. This is a final draft version of an article whose final and definitive form has been published by Springer. Published in this repository with the kind permission of the publisher.
In this paper, we present a framework of different interactive NAUTILUS methods for multiobjective optimization. In interactive methods, the decision maker iteratively sees solution alternatives and provides one’s preferences in order to find the most preferred solution. We question the widely used setting that the solutions shown to the decision maker should all be Pareto optimal which implies that improvement in any objective function necessitates allowing impairment in some others. Instead, in NAUTILUS we enable the decision maker to make a free search without having to trade-off by starting from an inferior solution and iteratively approaching the Pareto optimal set by allowing all objective functions to improve. The framework presented consists of different modules for preference elicitation and optimization. Four main NAUTILUS method variants are introduced as well as ideas of utilizing the framework in a flexible way to derive further variants.
Publication in research information system
MetadataShow full item record
Showing items with similar title or keywords.
Misitano, Giovanni; Saini, Bhupinder Singh; Afsar, Bekir; Shavazipour, Babooshka; Miettinen Kaisa (Institute of Electrical and Electronics Engineers (IEEE), 2021)Interactive multiobjective optimization methods incorporate preferences from a human decision maker in the optimization process iteratively. This allows the decision maker to focus on a subset of solutions, learn about the ...
Haanpää, Tomi (University of Jyväskylä, 2012)
On solving computationally expensive multiobjective optimization problems with interactive methods Ojalehto, Vesa (University of Jyväskylä, 2014)
A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods Tabatabaei, Mohammad; Hakanen, Jussi; Hartikainen, Markus; Miettinen, Kaisa; Sindhya, Karthik (Springer Berlin Heidelberg; International Society for Structural and Multidisciplinary Optimization, 2015)Computationally expensive multiobjective optimization problems arise, e.g. in many engineering applications, where several conflicting objectives are to be optimized simultaneously while satisfying constraints. In many ...
Miettinen, Kaisa (Springer, 2014)When solving decision problems where multiple conflicting criteria are to be considered simultaneously, decision makers must compare several different alternatives and select the most preferred one. The task of comparing ...