Abstract
We have seen that the field of multiobjective optimization is plentiful. The methods we can use are numerous.
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This paper presents a method for constructing test problems. The generic expression allows one to construct all kinds of test problems: convex, non-convex, with local optima, etc. These test problems are often used for comparisons between methods.
This paper deals with mono-objective test problems. The authors underline some incoherencies in some of the actual test problems used. They then propose some rules that all families of test problems should respect.
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© 2004 Springer-Verlag Berlin Heidelberg
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Collette, Y., Siarry, P. (2004). Test functions for multiobjective optimization methods. In: Multiobjective Optimization. Decision Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-08883-8_8
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DOI: https://doi.org/10.1007/978-3-662-08883-8_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07283-3
Online ISBN: 978-3-662-08883-8
eBook Packages: Springer Book Archive