Author:
Désidéri Jean-Antoine,Duvigneau Régis
Publisher
Springer International Publishing
Reference12 articles.
1. Désidéri J-A (2012) Multiple-gradient descent algorithm (MGDA). Research Report 6953, Inria, 2009 (revised version November 5).
http://hal.inria.fr/inria-00389811/fr/
2. Désidéri J-A (2012) Multiple-gradient descent algorithm (MGDA) for multiobjective optimization. C R Math Acad Sci Paris 350(5–6):313–318
3. Désidéri J-A (2014) Multiple-gradient descent algorithm for pareto-front identification. In: Fitzgibbon W, Kuznetsov YA, Neittaanmäki P, Pironneau O (eds), Modeling, Simulation and Optimization for Science and Technology. Computational Methods in Applied Sciences, vol 34, Springer, Berlin, pp 41–58
4. Désidéri J-A (2015) Révision de l’algorithme de descente à gradients multiples (MGDA) par orthogonalisation hiérarchique. Research Report 8710, Inria.
https://hal.inria.fr/hal-01139994
5. Désidéri J-A, Duvigneau R, Habbal A (2014) Multi-objective design optimization using Nash games. In: Vassile M, Becerra VM (eds) Computational Intelligence in Aerospace Sciences. American Institute of Aeronautics and Astronautics, Reston, pp 583–641
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