Multiple-gradient Descent Algorithm for Pareto-Front Identification-Reference-Cited by-同舟云学术

Multiple-gradient Descent Algorithm for Pareto-Front Identification

Published:2014 Issue: Volume: Page:41-58
ISSN:1871-3033
Container-title:Computational Methods in Applied Sciences
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Author:

Désidéri Jean-Antoine

Publisher

Springer Netherlands

Link

http://link.springer.com/content/pdf/10.1007/978-94-017-9054-3_3

Reference23 articles.

1. Das I, Dennis J (1996) Normal boundary intersection: an alternate method for generating Pareto optimal points in multicriteria optimization problems. ICASE report no. 96–62, NASA Langley Research Center, Hampton

2. Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, Chichester

3. Désidéri JA (2012) Multiple-gradient descent algorithm (MGDA). Research report 6953, INRIA. http://hal.inria.fr/inria-00389811 . Revised version, 5 Nov 2012

4. Désidéri JA (2012) Application of MGDA to domain partitioning. Research report 7968, INRIA. http://hal.inria.fr/hal-00694039

5. Désidéri JA (2012) Cooperation and competition in multidisciplinary optimization: application to the aero-structural aircraft wing shape optimization. Comput Optim Appl 52(1):29–68

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