## Applying multiobjective evolutionary algorithms in industrial projects

• During the recent years, multiobjective evolutionary algorithms have matured as a flexible optimization tool which can be used in various areas of reallife applications. Practical experiences showed that typically the algorithms need an essential adaptation to the specific problem for a successful application. Considering these requirements, we discuss various issues of the design and application of multiobjective evolutionary algorithms to real-life optimization problems. In particular, questions on problem-specific data structures and evolutionary operators and the determination of method parameters are treated. As a major issue, the handling of infeasible intermediate solutions is pointed out. Three application examples in the areas of constrained global optimization (electronic circuit design), semi-infinite programming (design centering problems), and discrete optimization (project scheduling) are discussed.

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Verfasserangaben: Th. Hanne urn:nbn:de:hbz:386-kluedo-15250 Berichte des Fraunhofer-Instituts für Techno- und Wirtschaftsmathematik (ITWM Report) (105) Bericht Englisch 2006 2006 Fraunhofer-Institut für Techno- und Wirtschaftsmathematik 28.05.2008 continuous optimization ; discrete optimization ; electronic circuit design ; multiobjective evolutionary algorithms ; semi-infinite programming Fraunhofer (ITWM) 5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik Standard gemäß KLUEDO-Leitlinien vor dem 27.05.2011

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