M. M. Sidi, A. Kadrani, B. Quilot-turion, M. Génard, and F. Lescourret, Compromising NSGA-II performances and stopping criteria: case of virtual peach design, International Conference on Metaheuristics and Nature Inspired Computing (META'2012), 2012.
URL : https://hal.archives-ouvertes.fr/hal-02807655

M. Génard, B. Quilot-turion, M. M. Ould-sidi, A. Kadrani, N. Hilgert et al., Heuristic value of a 'Virtual fruit' model of peach fruit quality and sensitivity to brown rot: impact of a single mutation and design of ideotypes, IX th International Symposium on Modeling in Fruit Research and Orchard Management, 2011.

A. Kadrani, M. M. Sidi, B. Quilot-turion, M. Génard, and F. Lescourret, Particle swarm optimization for designing ideotypes for sustainable production systems, proceeding of the International conference on swarm intelligence ICSI'2011
URL : https://hal.archives-ouvertes.fr/hal-02805277

M. M. Sidi, B. Quilot-turion, A. Kadrani, N. Hilgert, M. Génard et al., Application des algorithmes génétiques pour la conception de systèmes de culture durable, 2011.

B. Quilot-turion, A. Kadrani, M. M. Sidi, N. Hilgert, M. Génard et al., The virtual fruit: towards a tool to design ideotypes for sustainable production systems, proceeding of the 11 th conference of the European Society for Agronomy ESA AGRO'2010, 2010.

, j'ai effectué plusieurs déplacements du travail à Montpellier pour faciliter les travaux de statistique et de modélisation (les courbes de croissance), 2010.

, D'autres déplacements sont également faits dans d'autres villes en France pour participer à des congrès scientifiques, notamment la conférence de la société française de la recherche 7

, Projet, pp.902-913

, opérationnelle et l'aide à la décision à Saint-Etienne en mars 2011 et la conférence internationale de l'intelligence par essaim à Paris en juin, 2011.

V. Bibliographies, Nous citons ici quelques articles scientifiques et livres sur lesquels s'est appuyée la réalisation de ce projet

C. Coello, D. V. Veldhuizen, and G. Lamont, Evolutionary Algorithms for Solving Multi-Objective Problems, 2002.

K. Deb, Multi-Objective Optimization using Evolutionary Algorithms, 2001.

K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, A fast and elitist multi-objective genetic algorithm: NSGA-II, IEEE T. Evolut. Computat, vol.6, pp.182-197, 2002.

R. Eberhart and J. Kennedy, A new optimizer using particle swarm theory. Paper presented at the 6th international symposium on micro machine and human science, IEEE service center, 1995.

M. Genard, N. Bertin, C. Borel, P. Bussieres, H. Gautier et al., Towards a virtual fruit focusing on quality: modelling features and potential uses, Journal of Experimental Botany, vol.58, issue.5, pp.917-928, 2007.
URL : https://hal.archives-ouvertes.fr/hal-02662090

G. L. Hammer, M. J. Kropff, T. R. Sinclair, and J. R. Porter, Future contributions of crop modelling -from heuristics and supporting decision making to understanding genetic regulation and aiding crop improvement, European Journal of Agronomy, vol.18, issue.1-2, pp.15-31, 2002.

?. Kadrani, A. , O. Sidi, M. M. Quilot-turion, B. Génard et al., Particle swarm optimization to design ideotypes for sustainable fruit production systems, International Journal of Swarm Intelligence Research, vol.3, issue.2, pp.1-19, 2012.
URL : https://hal.archives-ouvertes.fr/hal-02643893

F. Lescourret and M. Genard, A virtual peach fruit model simulating changes in fruit quality during the final stage of fruit growth, Tree Physiology, vol.25, issue.10, pp.1303-1315, 2005.
URL : https://hal.archives-ouvertes.fr/hal-02675141

B. Quilot, J. Kervella, M. Genard, and F. Lescourret, Analysing the genetic control of peach fruit quality through an ecophysiological model combined with a QTL approach, Journal of Experimental Botany, vol.56, issue.422, pp.3083-3092, 2005.
URL : https://hal.archives-ouvertes.fr/hal-02675468

?. Quilot-turion, B. , O. Sidi, M. M. Kadrani, A. Hilgert et al., Optimization of parameters of the 'Virtual Fruit' model to design peach genotype for sustainable fruit production systems, European Journal of Agronomy, vol.42, pp.34-48, 2011.
URL : https://hal.archives-ouvertes.fr/hal-02644612

C. Raquel and P. Naval, An effective use of crowding distance in multiobjective particle swarm optimization. Paper presented at the Conference on genetic and evolutionary computation, 2005.

O. ?-roudenko and M. Schoenauer, A Steady Performance Stopping Criterion for Pareto-based Evolutionary Algorithms, Proceedings of the Sixth international conference of Multi-objective Programming and Goal Programming, 2004.