J. Désidéri, Multiple-Gradient Descent Algorithm (MGDA), Research Report, vol.6953, 2009.

J. Désidéri and R. Duvigneau, Parametric optimization of pulsating jets in unsteady flow by Multiple-Gradient Descent Algorithm (MGDA), Numerical Methods for Differential Equations , Optimization, and Technological Problems, Modeling, Simulation and Optimization for Science and Technology, 2017.

C. M. Fonseca and P. J. Fleming, An Overview of Evolutionary Algorithms in Multiobjective Optimization, Evolutionary Computation, vol.3, issue.1, pp.1-16, 1995.
DOI : 10.1162/evco.1994.2.3.221

H. Y. Huang and A. K. , A class of quadratically convergent algorithms for constrained function minimization, Journal of Optimization Theory and Applications, vol.16, issue.5-6, pp.447-485, 1975.
DOI : 10.1007/BF00933853

Q. Mercier, F. Poirion, and J. Désidéri, SMGDA: an uncertainty based multi-objective optimization approach. Illustration to an airplane composite material, Procedia Engineering, vol.199, pp.1199-1203, 2017.
DOI : 10.1016/j.proeng.2017.09.248

URL : https://doi.org/10.1016/j.proeng.2017.09.248

A. Miele, H. Y. Huang, and J. C. Heideman, Sequential gradient-restoration algorithm for the minimization of constrained functions?Ordinary and conjugate gradient versions, Journal of Optimization Theory and Applications, vol.4, issue.4, pp.213-243, 1969.
DOI : 10.1007/BF00927947

F. Poirion, Q. Mercier, and J. Désidéri, Descent algorithm for nonsmooth stochastic multiobjective optimization, Computational Optimization and Applications, vol.17, issue.2, pp.317-331, 2017.
DOI : 10.1007/978-3-662-21726-9

URL : https://hal.archives-ouvertes.fr/hal-01660788

P. A. Simionescu and D. Beale, New Concepts in Graphic Visualization of Objective Functions (PDF), ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp.891-897

G. Strang, Linear algebra and its applications, 1976.

M. Predictor, . Subject, . To, and . Constraints, Cost-function values : 0.451204 0, p.966632