Open Access
MATEC Web Conf.
Volume 105, 2017
International Workshop on Transportation and Supply Chain Engineering (IWTSCE’16)
Article Number 00010
Number of page(s) 4
Published online 14 April 2017
  1. B. Abou El Majd, J.A. Désidéri, and A. Habbal. Aerodynamic and structural optimization of a business-jet wingshape by a Nash game and an adapted split of variables. Mécanique & Industries 11.3-4 209–214, (2010). [CrossRef] [EDP Sciences] [Google Scholar]
  2. B. Abou El Majd. Optimisation de forme paramétrique: Stratégies hiérarchiques, adaptatives, et concourantes. Éditions universitaires européennes, (2015). [Google Scholar]
  3. R. Aboulaich, A. Habbal and N. Moussaid, Split of an optimization variable in game theory, Math. Model. Nat. Phenom(MMNP) 5, No. 7, 106–111, (2010) [CrossRef] [EDP Sciences] [MathSciNet] [PubMed] [Google Scholar]
  4. R. Aboulaich, A. Habbal and N. Moussaid, Optimisation multicritère: une approche par partage des variables, 13, 80–87, (2010). [Google Scholar]
  5. R. Aboulaich, R. Ellaia, S. El moumen, A. Habbal, N. Moussaid. A new algorithm for approching Nash equilibrium and Kalai Smoridinsky solution, submitted to “Applied and Computational Mathematics an International Journal (ACMIJ)”. [Google Scholar]
  6. R. Aboulaich, R. Ellaia, S. El moumen. The Mean-Variance-CVaR model for portfolio optimization Modeling using a Multi-Objective Approach based on a hybrid method, Math. Model. Nat. Phenom, 7, 93–98, (2010). [Google Scholar]
  7. R. Aboulaich, R. Ellaia, S. El Moumen. A new hybrid method for solving global optimization problem, Applied Mathematics and Computation Volume 218, Issue 7, 3265–3276, (2011). [CrossRef] [Google Scholar]
  8. I. Das, J.E. Dennis. Normal Boundary Intersection, A New methode for Generating the Pareto Surface inNonlinear Multicreteria Optimization problems, SIAM J. Optimization, 3, 631–657, (1998). [Google Scholar]
  9. J. A. Désidéri, R. Duvigneau, B. Abou El Majd, and Z. Tang.Algorithms for e_cient shape optimization in aerodynamics and coupled disciplines. In 42nd AAAF Congress on Applied Aerodynamics, March 2007, Sophia-Antipolis, France. [Google Scholar]
  10. M. Duran Toksarý. A heuristic approach to find the global optimum of function, Journal of Computational and Applied Mathematics 209 160–166, (2007). [CrossRef] [Google Scholar]
  11. S. Kirpatrick, C.D. Gelatt, and M.P. Vecchi. Optimization by simulated annealing, Science, New Series 220),671–680, (1983). [Google Scholar]
  12. H.M. Markowitz. Multivariate Stochastic Approximation using a Simultaneous Perturbation Gradient Approximation, 7, 77–91, (1952). [Google Scholar]
  13. N. Metropolis, A.W. Rosenbluth, M.N. Rosenbluth, A.H. Teller, and E. Teller. Equations of state calculations by fast computing machines, J. Chem. Phys., 21(6), 1087–1091, (1953). [NASA ADS] [CrossRef] [Google Scholar]
  14. B. Raphael, I.F.C. Smith. A direct stochastic algorithm for global search, Applied Mathematics and Computation 146, 729–758, (2003). [Google Scholar]
  15. C.R. Reeves. Modern Heuristic Techniques for Combinatorial Problems, John Wiley and Sons, New York, NY, 1993. [Google Scholar]
  16. R.T. Rockafeller, S. Uryasev. Optimization of Conditional Value-at-Risk, Journal of Risk, 3, 21–42, (2000). [Google Scholar]
  17. R.T. Rockafeller, S. Uryasev. Conditional Value-at-Risk for general loss distributions, Journal of Banking and Finance, 7, 1443–1471, (2002). [Google Scholar]
  18. M. Smorodinsky, E. Kalai. Other Solution to Nash’s Bargaining Problem, Econometrica, Applied Mathematics and Computation, 3, 513–518, (1975). [Google Scholar]
  19. J.C. Spall. Multivariate Stochastic Approximation using a Simultaneous Perturbation Gradient Approximation, IEEE transactions on automatic control, 37 332–341, (1992). [CrossRef] [Google Scholar]
  20. S. Uryasev. Conditional Value-at-Risk: Optimization Algorithms and Applications, Financial Engineering News 14, 1–5, (2000). [Google Scholar]
  21. Q. Yuan, Z. He, H. Leng. A hybrid genetic algorithmfor a class of global optimization problems with box constraints, Applied Mathematics and Computation 197 (2008) 924–929 [CrossRef] [MathSciNet] [Google Scholar]

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