Nous présentons un résultat de controlabilité pour un système dynamique d'ordre deux et son utilisation en optimisation globale dans un context de minimisation multi-critère. En particulier, nous montrons comment atteindre les points sur des fronts de Pareto nonconvexes.
We present a controllability result for a second order dynamic system and its application to global optimization in the context of multi-criteria problems. In particular, we address the issue of reaching points on nonconvex regions of Pareto fronts.
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@article{CRMATH_2009__347_5-6_327_0, author = {Mohammadi, Bijan and Redont, Patrick}, title = {Improving the identification of general {Pareto} fronts by global optimization}, journal = {Comptes Rendus. Math\'ematique}, pages = {327--331}, publisher = {Elsevier}, volume = {347}, number = {5-6}, year = {2009}, doi = {10.1016/j.crma.2009.01.020}, language = {en}, url = {http://www.numdam.org/articles/10.1016/j.crma.2009.01.020/} }
TY - JOUR AU - Mohammadi, Bijan AU - Redont, Patrick TI - Improving the identification of general Pareto fronts by global optimization JO - Comptes Rendus. Mathématique PY - 2009 SP - 327 EP - 331 VL - 347 IS - 5-6 PB - Elsevier UR - http://www.numdam.org/articles/10.1016/j.crma.2009.01.020/ DO - 10.1016/j.crma.2009.01.020 LA - en ID - CRMATH_2009__347_5-6_327_0 ER -
%0 Journal Article %A Mohammadi, Bijan %A Redont, Patrick %T Improving the identification of general Pareto fronts by global optimization %J Comptes Rendus. Mathématique %D 2009 %P 327-331 %V 347 %N 5-6 %I Elsevier %U http://www.numdam.org/articles/10.1016/j.crma.2009.01.020/ %R 10.1016/j.crma.2009.01.020 %G en %F CRMATH_2009__347_5-6_327_0
Mohammadi, Bijan; Redont, Patrick. Improving the identification of general Pareto fronts by global optimization. Comptes Rendus. Mathématique, Tome 347 (2009) no. 5-6, pp. 327-331. doi : 10.1016/j.crma.2009.01.020. http://www.numdam.org/articles/10.1016/j.crma.2009.01.020/
[1] A closer look at drawbacks of minimizing weighted sums of objectives for Pareto set generation in multicriteria optimization problems, Struct. Optim., Volume 14 (1997), pp. 63-69
[2] Normal-boundary intersection: A new method for generating Pareto optimal points in multicriteria optimization problems, SIAM J. Optim., Volume 8 (1998), pp. 631-657
[3] Multi-objective genetic algorithms: Problem difficulties and construction of test problems, IEEE J. Evolutionary Comp., Volume 7 (1999), pp. 205-230
[4] Semi-deterministic vs. genetic algorithms for global optimization of multichannel optical filters, Int. J. Comput. Sci. Eng., Volume 2 (2006) no. 3-4, pp. 170-188
[5] Global optimization for the design of fast microfluidic protein folding devices, Int. J. Numer. Meth. Eng., Volume 26 (2006) no. 6, pp. 319-333
[6] Semi-deterministic global optimization method and application to the control of Burgers equation, JOTA, Volume 135 (2007) no. 1, pp. 549-561
[7] Ability of objective functions to generate points on non-convex Pareto frontiers, AIAA J., Volume 38 (2000) no. 6, pp. 155-163
[8] Box-constrained multi-objective optimization: A gradient-like method without a priori scalarization, Eur. J. Oper. Res., Volume 188 (2008), pp. 662-682
[9] Optimal transport, shape optimization and global minimization, C. R. Acad. Sci. Paris, Ser. I., Volume 344 (2007), pp. 591-596
[10] Applied Shape Optimization for Fluids, Oxford Univ. Press, 2009
[11] Pratique de la simulation numérique, Dunod, Paris, 2003
[12] Manuale di Economia Politica, Manual of Political Economy, Societa Editrice Libraria, Milano, Italy, 1906 (Translated into English by Schwier, A.S, 1971, Macmillan, New York)
[13] A survey of multicriteria optimization, or the vector maximum problem, JOTA, Volume 29 (1979)
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