Abstract
Interval methods are known to be a precise and robust tool of global optimization. Several interval algorithms have been developed to deal with various kinds of this problem. Far less has been written about the use of interval methods in multicriterial optimization. The paper surveys two methods presented by other researchers and proposes a modified approach, combining PICPA algorithm with the use of derivative information. Preliminary numerical results are presented.
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Kubica, B.J., Woźniak, A. (2008). Interval Methods for Computing the Pareto-front of a Multicriterial Problem. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2007. Lecture Notes in Computer Science, vol 4967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68111-3_146
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DOI: https://doi.org/10.1007/978-3-540-68111-3_146
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68105-2
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