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Type: Conference paper
Title: User preferences for approximation-guided multi-objective evolution
Author: Nguyen, A.
Wagner, M.
Neumann, F.
Citation: Proceedings of the 10th International Conference on Simulated Evolution and Learning, 2014 / Dick, G., et al. (ed./s), vol.8886, pp.251-262
Publisher: Springer
Publisher Place: Online
Issue Date: 2014
Series/Report no.: Lecture Notes in Computer Science
ISBN: 978-3-319-13562-5
ISSN: 0302-9743
Conference Name: 10th International Conference on Simulated Evolution and Learning (SEAL) (15 Dec 2014 - 18 Dec 2014 : Dunedin, New Zealand)
Statement of
Anh Quang Nguyen, Markus Wagner, Frank Neumann
Abstract: Incorporating user preferences into evolutionary multi-objective evolutionary algorithms has been an important topic in recent research in the area of evolutionary multi-objective optimization. We present a very simple and yet very effective modification to the Approximation- Guided Evolution (AGE) algorithm to incorporate user preferences. Over a wide range of test functions, we observed that the resulting algorithm called iAGE is just as good at finding evenly distributed solutions as similarly modified NSGA-II and SPEA2 variants. However, in particular for ”difficult” two-objective problems and for all three-objective problems we see more evenly distributed solutions in the user preferred region when using iAGE.
Keywords: Multi-objective optimisation; approximation; user preference
Description: LNCS, volume 8886
Rights: © Springer International Publishing Switzerland 2014
RMID: 0030024056
DOI: 10.1007/978-3-319-13563-2_22
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Appears in Collections:Computer Science publications

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