Design and validation of a hybrid interactive reference point method for multi-objective optimization

This paper offers a classification of the main representatives of interactive classical and evolutionary methods. After a crossfertilization of these two fields a new hybrid interactive reference point method is designed. The method combines the reference point idea with the relative speed of a (1+1...

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Bibliographic Details
Published in:2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) pp. 2909 - 2916
Main Authors: Sathe, M., Rudolph, G., Deb, K.
Format: Conference Proceeding
Language:English
Published: IEEE 01.06.2008
Subjects:
Classification algorithms
Delta modulation
Distance measurement
Evolutionary computation
Graphical user interfaces
Optimization
Welding
ISBN:1424418224, 9781424418220
ISSN:1089-778X
Online Access:Get full text
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Summary:This paper offers a classification of the main representatives of interactive classical and evolutionary methods. After a crossfertilization of these two fields a new hybrid interactive reference point method is designed. The method combines the reference point idea with the relative speed of a (1+1) - EA and is implemented with a graphical user interface. Finally, it is validated on two well-known real-world test problems.
ISBN:1424418224
9781424418220
ISSN:1089-778X
DOI:10.1109/CEC.2008.4631189