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Interactive evolutionary multiobjective optimization using robust ordinal regression

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Branke, Jürgen, Greco, Salvatore, Slowinski, Roman and Zielniewicz, Piotr (2009) Interactive evolutionary multiobjective optimization using robust ordinal regression. In: 5th International Conference on Evolutionary Multi-Criterion Optimization, Univ Nantes, Fac Sci, Nantes, France, April 07-10, 2009. Published in: Lecture Notes in Computer Science, Vol.5467 pp. 554-568. ISBN 978-3-642-01019-4. ISSN 0302-9743. doi:10.1007/978-3-642-01020-0_43

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Official URL: http://dx.doi.org/10.1007/978-3-642-01020-0_43

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Abstract

This paper proposes the Necessary-preference-enhanced Evolutionary Multiobjective Optimizer (NEMO), a combination of an evolutionary multiobjective optimization method, NSGA-II, and an interactive multiobjective optimization method, GRIP. In the course of NEMO, the decision maker is able to introduce preference information in a holistic way, by simply comparing some pairs of solutions and specifying which solution is preferred, or comparing intensities of preferences between pairs of solutions. From this information, the set of all compatible value functions is derived using GRIP, and a properly modified version of NSGA-II is then used to search for a representative set of all Pareto-optimal solutions compatible with this set of derived value functions. As we show, this allows to focus the search on the region most preferred by the decision maker, and thereby speeds up convergence.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Social Sciences > Warwick Business School
Series Name: LECTURE NOTES IN COMPUTER SCIENCE
Journal or Publication Title: Lecture Notes in Computer Science
Publisher: Springer
ISBN: 978-3-642-01019-4
ISSN: 0302-9743
Editor: Ehrgott, M and Fonseca, CM and Gandibleux, X and Hao, JK and Sevaux, M
Official Date: 2009
Dates:
DateEvent
2009Published
Volume: Vol.5467
Number of Pages: 15
Page Range: pp. 554-568
Identifier: 10.1007/978-3-642-01020-0_43
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Paper
Title of Event: 5th International Conference on Evolutionary Multi-Criterion Optimization
Type of Event: Conference
Location of Event: Univ Nantes, Fac Sci, Nantes, France
Date(s) of Event: April 07-10, 2009

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