Experiments with classification-based scalarizing functions in interactive multiobjective optimization

In multiobjective optimization methods, the multiple conflicting objectives are typically converted into a single objective optimization problem with the help of scalarizing functions and such functions may be constructed in many ways. We compare both theoretically and numerically the performance of...

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Bibliographic Details
Published in:	European journal of operational research Vol. 175; no. 2; pp. 931 - 947
Main Authors:	Miettinen, Kaisa, Mäkelä, Marko M., Kaario, Katja
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.12.2006 Elsevier Elsevier Sequoia S.A
Series:	European Journal of Operational Research
Subjects:	Applied sciences Classification Exact sciences and technology Guaranteeing Pareto optimality Interactive methods Mathematical programming Multiple objective programming Operational research and scientific management Operational research. Management science Optimization Pareto optimum Studies Test problems Interactive methods Test problems Guaranteeing Pareto optimality Multiple objective programming Classification Pareto optimum Interactive mode Multiobjective programming Scalarization Guarantee Location problem Optimization
ISSN:	0377-2217, 1872-6860, 1872-6860
Online Access:	Get full text
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