Navigation in multiobjective optimization methods

Allmendinger, Richard and Ehrgott, Matthias and Gandibleux, Xavier and Geiger, Martin Josef and Klamroth, Kathrin and Luque, Mariano (2016) Navigation in multiobjective optimization methods. Journal of Multi-Criteria Decision Analysis, 24 (1-2). pp. 57-70. ISSN 1057-9214

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Abstract

Building on previous work of the authors, this paper formally defines and reviews the first approach, referred to as navigation, towards a common understanding of search and decision making strategies to identify the most preferred solution among the Pareto set for a multiobjective optimization problem. In navigation methods, the decision maker interactively learns about the problem, while the decision support system learns about the preferences of the decision maker. This work introduces a detailed view on navigation leading to the identification of integral components and features. A number of different existing navigation methods are reviewed and characterized. Finally, an overview of applications involving navigation is given, and promising future research directions are discussed.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Multi-Criteria Decision Analysis
Additional Information:
This is the peer reviewed version of the following article: Allmendinger R, Ehrgott M, Gandibleux X, Geiger, MJ, Klamroth K, Luque M. Navigation in multiobjective optimization methods, J Multi-Crit Decis Anal, 2017;24:57–70. https://doi.org/10.1002/mcda.1599 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/mcda.1599/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1800
Subjects:
?? multiobjective optimizationmultiple criteria decision makingpreference learningnavigationdecision sciences(all)strategy and management ??
ID Code:
81396
Deposited By:
Deposited On:
14 Sep 2016 10:02
Refereed?:
Yes
Published?:
Published
Last Modified:
18 Dec 2023 01:40