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Jean BIGEON
CHERCHEUR
: Jean.Bigeonatls2n.fr
Adresse :
Centrale Nantes ( CN )Petit Port 1, rue de la NoëBP 92101
44321 NANTES Cedex 3
Batiment S, étage 5, bureau 512
Publications référencées sur HAL
Revues internationales avec comité de lecture (ART_INT)
- [1] A. Desormiere, L. Gzara, J. Bigeon, L. Nguyen-The. Comparing Power Models for circuits design with Mathematical Language Processing. In Procedia Computer Science ; éd. Elsevier, 2024, vol. 237.https://hal.science/hal-04303857v1
- [2] J. Bigeon, S. Le Digabel, L. Salomon. Handling of constraints in multiobjective blackbox optimization. In Computational Optimization and Applications ; éd. Springer Verlag, 2024, vol. 89, num. 1.https://hal.science/hal-04684390v1
- [3] J. Bigeon, S. Le Digabel, L. Salomon. Handling of constraints in multiobjective blackbox optimization. In Computational Optimization and Applications ; éd. Springer Verlag, 2024, vol. 89, num. 1.https://hal.science/hal-04684527v1
- [4] C. Audet, J. Bigeon, R. Couderc, M. Kokkolaras. Sequential stochastic blackbox optimization with zeroth-order gradient estimators. In AIMS Mathematics ; éd. AIMS Press, 2023, vol. 8, num. 11.https://hal.science/hal-04292899v1
- [5] A. Desormiere, L. Gzara, J. Bigeon, L. Nguyen-Thê. Hierarchical Clustering of Power Models for circuits design. In Procedia Computer Science ; éd. Elsevier, 2022, vol. 204.https://hal.science/hal-03859996v1
- [6] S. Saad, F. Ossart, J. Bigeon, E. Sourdille, H. Gance. Global Sensitivity Analysis Applied to Train Traffic Rescheduling: A Comparative Study. In Energies ; éd. MDPI, 2021, vol. 14, num. 19.https://hal.science/hal-03447150v1
- [7] J. Bigeon, S. Le Digabel, L. Salomon. DMulti-MADS: mesh adaptive direct multisearch for bound-constrained blackbox multiobjective optimization. In Computational Optimization and Applications ; éd. Springer Verlag, 2021, vol. 79, num. 2.https://hal.science/hal-03447078v1
- [8] C. Audet, J. Bigeon, R. Couderc. Combining Cross-Entropy and MADS Methods for Inequality Constrained Global Optimization. In SN Operations Research Forum ; éd. Springer, 2021, vol. 2, num. 3.https://hal.science/hal-03447123v1
- [9] C. Angla, J. Bigeon, D. Orban. Modeling and solving bundle adjustment problems. In Cahiers du Gerad. 08-2020https://hal.science/hal-03155907v1
- [10] K. Babanezhad, A. Aidibe, G. Foucault, A. Tahan, J. Bigeon. Improved Bi-Criterion Flexible Registration for Fixtureless Inspection of Compliant Parts. In Precision Engineering ; éd. Elsevier, 2020, vol. 65.https://hal.science/hal-02880044v1
- [11] C. Audet, J. Bigeon, D. Cartier, S. Le Digabel, L. Salomon. Performance indicators in multiobjective optimization. In European Journal of Operational Research ; éd. Elsevier, 2020, vol. 292, num. 2.https://hal.science/hal-03862074v3
- [12] K. Babanezhad, G. Foucault, V. Sabri, A. Tahan, J. Bigeon. The fixtureless inspection of flexible parts based on semi-geodesic distance. In Precision Engineering ; éd. Elsevier, 2019, vol. 59.https://hal.science/hal-02187215v1
- [13] S. Saad, F. Ossart, J. Bigeon, E. Sourdille, H. Gance. Global sensitivity analysis applied to traffic rescheduling in case of power shortage. In International Journal of Transport - Development and integration ; éd. WIT Press, 2018, vol. 2, num. 3.https://hal.science/hal-01915419v1
- [14] G. Abenhaim, A. Desrochers, A. Tahan, J. Bigeon. A virtual fixture using a FE-based transformation model embedded into a constrained optimization for the dimensional inspection of nonrigid parts. In Computer-Aided Design ; éd. Elsevier, 2015, vol. 62.https://hal.science/hal-01114609v1
- [15] G. Abenhaim, A. Desrochers, A. Tahan, J. Bigeon. A Finite-Element Boundary Condition Setting Method for the Virtual Mounting of Compliant Components. In Journal of Computing and Information Science in Engineering ; éd. American Society of Mechanical Engineers, 2015, vol. 15, num. 4.https://hal.science/hal-03155417v1
- [16] L. Picheral, K. Hadj-Hamou, J. Bigeon. Robust optimization based on the Propagation of Variance method for analytic design models. In International Journal of Production Research ; éd. Taylor & Francis, 2014, vol. 52, num. 24.https://hal.science/hal-00996103v1
- [17] I. Mazhoud, K. Hadj-Hamou, J. Bigeon, P. Joyeux. Particle Swarm Optimization for solving engineering problems: a new constraint-handling mechanism. In Engineering Applications of Artificial Intelligence ; éd. Elsevier, 2013, vol. 26, num. 4.https://hal.science/hal-00786457v1
- [18] I. Mazhoud, K. Hadj-Hamou, J. Bigeon, G. Remy. Interval-based global optimization in engineering using model reformulation and constraint propagation. In Engineering Applications of Artificial Intelligence ; éd. Elsevier, 2012, vol. 25, num. 2.https://hal.science/hal-00638161v1
- [19] I. Mazhoud, K. Hadj-Hamou, J. Bigeon, G. Remy. The electromagnetic actuator design problem: an adapted interval global optimization algorithm. In IEEE Transactions on Magnetics ; éd. Institute of Electrical and Electronics Engineers, 2012, vol. 48, num. 2.https://hal.science/hal-00638165v1
- [20] C. Sauvey, F. Bar, P. Rosnet, F. Wurtz, J. Fandino, J. Bigeon. Intégration du calcul des racines d'un polynôme dans une méthodologie d'optimisation de type gradient. In RIGE (Revue Internationale de Génie Electrique ). 2001https://hal.science/hal-01710752v1
- [21] S. Bergeon, L. Gerbaud, J. Bigeon. Un modèle contraint symbolique pour le dimensionnement des convertisseurs statiques. In European Physical Journal: Applied Physics ; éd. EDP Sciences, 1998, vol. 1, num. 3.https://hal.science/hal-03155394v1
- [22] J. Bigeon, F. Ossart, A. Boukir, V. Reinbold, P. Levy. Genetic Algorithm-Based Optimization for Sizing Tramway Electrical Infrastructures. Application to a Real Study Case. In Electrimacs 2024, mai 2024, Castello de la plana, Espagne.https://hal.science/hal-04684121v1
- [23] J. Bigeon, D. Orban, P. Raynaud. PartiallySeparableNLPModels.jl: A Julia framework for partitioned quasi-Newton optimization. In JOPT 2023, mai 2023, Montreal, Canada.https://hal.science/hal-04684457v1
- [24] J. Bigeon. Sequential stochastic blackbox optimization. In JOPT 2023, mai 2023, Montreal, Canada.https://hal.science/hal-04684460v1
- [25] J. Bigeon, C. Audet, M. Kokkolaras, R. Couderc. Sequential stochastic blackbox optimization with zeroth order gradient estimators. In MOPTA2023, août 2023, Bethlehem, PA, USA, états-Unis.https://hal.science/hal-04292913v1
- [26] J. Bigeon, C. Audet, R. Couderc, M. Kokkolaras. Sequential stochastic blackbox optimization with zeroth order gradient estimators. In MOPTA 2023, août 2023, Bethlehem, PA, USA, états-Unis.https://hal.science/hal-04684482v1
- [27] A. Boukir, V. Reinbold, F. Ossart, J. Bigeon, P. Levy. Optimal Sizing of Tramway Electrical Infrastructures Using Genetic Algorithms. In Electrimacs 2022, mai 2022, Nancy, France.https://hal.science/hal-04292957v1
- [28] C. Audet, J. Bigeon, R. Couderc, M. Kokkolaras. Risk-adverse optimization by Conditional Value-at-Risk and stochastic approximation. In Journées de l'Optimisation 2022, mai 2022, Montréal, Canada.https://hal.science/hal-03862057v1
- [29] J. Bigeon, D. Orban, P. Raynaud. Exploiting the partially separable structure in quasi-Newton optimization. In JOPT 2022, mai 2022, MOntréal, Canada.https://hal.science/hal-04684439v1
- [30] J. Bigeon, L. Salomon, S. Le Digabel. A study of quadratic search step formulations for multiobjective derivative free optimization. In JOPT 2022, mai 2022, Montreal, Canada.https://hal.science/hal-04684411v1
- [31] J. Bigeon, R. Couderc, C. Audet, M. Kokkolaras. Risk-adverse optimization by conditional value-at-risk and stochastic approximation. In JOPT2022, mai 2022, Montreal, Canada.https://hal.science/hal-04684427v1
- [32] J. Bigeon, R. Couderc, C. Audet. Combining Cross Entropy and MADS methods for inequality constrained global optimization. In JOPT 2022, mai 2022, Montreal (Canada), Canada.https://hal.science/hal-04684420v1
- [33] L. Salomon, C. Audet, J. Bigeon, S. Le Digabel. MADMS: Mesh adaptive direct multisearch for constrained blackbox multiobjective optimization. In JOPT, mai 2019, Montréal, Canada.https://hal.science/hal-02461422v1
- [34] L. Salomon, J. Bigeon, C. Audet, S. Le Digabel. MADMS: Mesh adaptive direct multisearch for blackbox multiobjective optimization. In ICCOPT, août 2019, Berlin, Allemagne.https://hal.science/hal-02461397v1
- [35] S. Saad, F. Ossart, J. Bigeon, H. Gance, E. Sourdille. Sensitivity analysis applied to multiline traffic rescheduling in case of electrical power failure. In 12th World Congress on Railway Research WCRR - Railway Research to Enhance the Customer Experience, octobre 2019, Tokyo, Japon.https://hal.science/hal-02378729v1
- [36] L. Salomon, C. Audet, J. Bigeon, S. Le Digabel. Review of the quality of approximated Pareto fronts in multiobjective optimization, Journées de l'optimisation. In JOPT, mai 2018, Montréal, Canada.https://hal.science/hal-02461431v1
- [37] J. Bigeon, E. Bigeon, E. Atienza. VDesign A Formal Modeling and Optimization Software. In Journées de l'Optimisation 2018 (JOPT 2018 ), mai 2018, Montreal, Canada.https://hal.science/hal-03156095v1
- [38] J. Bigeon, E. Bigeon, E. Atienza. Design: a new optimization environment dedicated to preliminary design. In euro2018, mai 2018, Almeria, Espagne.https://hal.science/hal-01933817v1
- [39] S. Saad, F. Ossart, J. Bigeon, E. Sourdille, H. Gance. Regional Sensitivity Analysis Applied To Train Traffic Rescheduling in Case of Power Shortage. In IEEE – 13th System of Systems Engineering Conference (SoSE), juin 2018, Paris, France.https://centralesupelec.hal.science/hal-01801271v1
- [40] S. Saad, F. Ossart, J. Bigeon, E. Sourdille, H. Gance. Global sensitivity analysis applied to traffic rescheduling in case of power shortage. In 16th International Conference on Railway Engineering Design & Operation, juillet 2018, Lisbonne, Portugal.https://centralesupelec.hal.science/hal-01900616v1
- [41] S. Saad, F. Ossart, J. Bigeon, E. Sourdille, H. Gance. Application de l'analyse de sensibilité à la réorganisation du trafic ferroviaire en cas d'incident sur infrastructure électrique. In 3ème Symposium de Génie Electrique (SGE 2018), juillet 2018, Nancy, France.https://hal.science/hal-02981822v1
- [42] J. Bigeon, E. Bigeon, E. Atienza. A new environment adapted to preliminary design in industry. In ENgOpt2018 6 th International Conference on Engineering Optimization, septembre 2018, Lisboa, Portugal.https://hal.science/hal-02140062v1
- [43] K. Babanezhad, G. Foucault, A. Tahan, J. Bigeon. BOFR-1: A Bi-Criterion Flexible Registration Method for Fixtureless Inspection of Compliant Parts. In 26th CIRP Design Conference, 2016, Stockholm, Suède.https://hal.science/hal-01400933v1
- [44] B. Desjouis, F. Ossart, S. Saad, J. Bigeon, E. Sourdille. Modélisation générique de réseaux électriques ferroviaires. In 2nd Symposium de Génie Électrique (SGE 2016), juin 2016, Grenoble, France.https://hal.science/hal-01361582v1
- [45] E. Sourdille, F. Ossart, J. Bigeon, A. Machet. Analysis of maximum transmissible power in electrified railway system. In 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC), novembre 2016, Toulouse, France.https://hal.science/hal-01693616v1
- [46] K. Babanezhad, J. Bigeon. HBA-1: A Hybrid Bi-Objective Optimizer for Black-Box Problems. In Proc. of CEFC2016, novembre 2016, Miami, états-Unis.https://hal.science/hal-01400968v1
- [47] B. Desjouis, G. Remy, F. Ossart, C. Marchand, J. Bigeon, E. Sourdille. A new generic problem formulation dedicated to electrified railway systems. In ESARS 2015, mars 2015, Aachen, Allemagne.https://hal.science/hal-01241090v1
- [48] J. Bigeon, S. Tahan, A. Tahan, G. Foucault, K. Babanezhad. A Step Toward Accurate Automated Dimensional inspection of Non Rigid Mechanical Parts. In 3 third Sino-French Workshop on Digital Factory and Digital Manufacturing, novembre 2015, Beijing, Chine.https://hal.science/hal-02462487v1
- [49] I. Mazhoud, L. Picheral, K. Hadj-Hamou, J. Bigeon, P. Joyeux. A new robust optimization approach based on robust constraints and robust objective function. In Conference on the Computation of Electromagnetic Fields, mai 2014, Annecy, France.https://hal.science/hal-00964548v1
- [50] L. Picheral, I. Mazhoud, K. Hadj-Hamou, J. Bigeon, P. Joyeux. An automated robust optimization approach based on robust constraints and objective function. In 19th IEEE International Conference on the Computation of Electromagnetic Fields (COMPUMAG2013), juin 2013, Budapest, Hongrie.https://hal.science/hal-00903999v1
- [51] I. Mazhoud, K. Hadj-Hamou, J. Bigeon, P. Joyeux. Particle Swarm Optimization for dynamic analytical models involving Ordinary Differential Equations. In IEEE Canadian Conference on Electrical and Computer Engineering CCECE, avril 2012, Montreal, Canada.https://hal.science/hal-00770897v1
- [52] L. Picheral, K. Hadj-Hamou, G. Remy, J. Bigeon. Optimization based on parameter moments estimation for robust design. In IEEE Canadian Conference on Electrical and Computer Engineering CCECE, avril 2012, Montreal, Canada.https://hal.science/hal-00770937v1
- [53] A. Torkamani, K. Hadj-Hamou, J. Bigeon. An improved particle swarm optimization for solving constrained engineering design problems. In IESM 2011, International Conference on Industrial Engineering and Systems Management, mai 2011, Metz, France.https://hal.science/hal-00636419v1
- [54] I. Mazhoud, K. Hadj-Hamou, J. Bigeon, G. Remy. The Electromagnetic Actuator Design Problem: An Adapted Interval Global Optimization Algorithm using Model Reformulation and Constraint Propagation. In COMPUMAG 2011, juillet 2011, Sydney, Australie.https://centralesupelec.hal.science/hal-00712505v1
- [55] L. Picheral, I. Mazhoud, G. Remy, J. Bigeon. Robust Analysis towards Robust Optimization in Engineering Design. In COMPUMAG 2011, juillet 2011, Sydney, Australie.https://centralesupelec.hal.science/hal-00712506v1
- [56] I. Mazhoud, K. Hadj-Hamou, J. Bigeon, G. Remy. The electromagnetic actuator design problem : an adapted interval global optimization algorithm using model reformulation and constraint propagation. In 18th International Conference on the Computation of Electromagnetic Fields (COMPUMAG2011), juillet 2011, Sydney, Australie.https://hal.science/hal-00636331v1
- [57] L. Picheral, K. Hadj-Hamou, J. Bigeon, G. Remy. Robust analysis towards robust optimizationin. In 18th International Conference on the Computation of Electromagnetic Fields (COMPUMAG2011), 12 - 15 July 2011, Sydney, Australia, juillet 2011, Sydney, Australie.https://hal.science/hal-00636327v1
- [58] M. Pinel, L. Gzara, M. Pralus, C. Braesch, J. Bigeon, L. Tabourot. PLM and Lean: two complementary pillars for the company. In IESM 2011, International Conference on Industrial Engineering and Systems Management, mai 2011, Metz, France.In Lyes Benyoucef, Damien Trentesaux, Abdelhakim Artiba, Nidhal Rezg (éds.), . , 2011.https://hal.science/hal-00598551v1
- [59] C. Sauvey, F. Bar, P. Rosnet, W. Frederic, J. Fandino, J. Bigeon. Intégration du calcul des racines d'un polynôme dans une méthodologie d'optimisation de type gradient. In NUMELEC, mars 2000, Futuroscope, Poitiers, France.https://hal.science/hal-01726955v1
- [60] C. Sauvey, F. Bar, P. Rosnet, F. Wurtz, J. Fandino, J. Bigeon. A methodology for using roots of a polynomial in gradient optimisation of electrical devices. In IEEE-CEFC'2000, juin 2000, Milwaukee, états-Unis.https://hal.science/hal-01710744v1
- [61] C. Sauvey, F. Wurtz, J. Bigeon, F. Binet. A methodology for using least squares minimisation in gradient optimisation of electrical devices. In Electric Machines and Drives IEEE International Conference - IEMDC, mai 1999, Seattle, états-Unis.https://hal.univ-lorraine.fr/hal-01322304v1
- [62] C. Sauvey, F. Wurtz, J. Bigeon, F. Binet. A methodology for using morsels continuous linear functions in gradient optimisation of electrical devices. In International Conference on Electric Machines and Drives, 1999 - IEMDC, mai 1999, Seattle, états-Unis.https://hal.science/hal-01322310v1
- [63] C. Sauvey, F. Wurtz, J. Bigeon. Analytical gradient type optimization of a switched reluctance motor. In IEEE-COMPUMAG'99, octobre 1999, Sapporo, Japon.https://hal.science/hal-01710734v1
- [64] A. Boukir, V. Reinbold, F. Ossart, J. Bigeon, P. Levy. Dimensionnement optimal des infrastructures électriques d'un tramway à l'aide d'algorithmes génétiques. In Conférence des jeunes chercheurs en Génie Electrique, juin 2022, Le Croisic, France.https://hal.science/hal-03860274v1
- [65] E. Bigeon, J. Bigeon. A formal modeling and optimization software. In Jopt2018, mai 2018, Montreal, Canada.https://hal.science/hal-01933815v1
- [66] L. Salomon, C. Audet, J. Bigeon, D. Cartier, S. Le Digabel. Review of measures of the quality of approximated Pareto fronts in multiobjective optimization. In JOpt, mai 2018, Montréal, Canada.https://hal.science/hal-01933812v1
- [67] S. Saad, F. Ossart, J. Bigeon, E. Sourdille, H. Gance. Application de l’analyse de sensibilité à la réorganisation du trafic ferroviaire en cas d’incident sur infrastructure électrique. In 3ème Symposium de Génie Electrique (SGE 2018), juillet 2018, Nancy, France.https://centralesupelec.hal.science/hal-01900623v1
- [68] A. Torkamani, K. Hadj-Hamou, J. Bigeon. Solving design problems using new constrained PSO algorithm. In ROADEF 2011, 12e congrès annuel de la Société française de Recherche Opérationnelle et d'Aide à la Décision, mars 2011, Saint Etienne, France.https://hal.science/hal-00652718v1
- [69] I. Mazhoud, K. Hadj-Hamou, J. Bigeon. Interval global optimization using reformulation and contractor. In ROADEF 2011, 12e congrès annuel de la Société française de Recherche Opérationnelle et d'Aide à la Décision, mars 2011, Saint Etienne, France.https://hal.science/hal-00652721v1
- [70] L. Picheral, K. Hadj-Hamou, J. Bigeon, G. Remy, E. Atienza. Toward Robust Preliminary Design. In Méthodologies et outils d'optimisation en génie électrique, avril 2010, Paris, France.https://hal.science/hal-00579241v1
- [71] D. Magot, E. Atienza, P. Rieuvernet, J. Bigeon, A. Bolopion. Aide au choix de formulation des problèmes de dimensionnement. In EF 2005, septembre 2005, Grenoble, France.https://hal.science/hal-00187620v1
- [72] E. Christophe, J. Bigeon. Utilisation de l'optimisation pour rénover l'enseignement de la conception des machines électriques - Description d'un travail pratique utilisant le logiciel Pro@Design. In 5ème Colloque sur l'Enseignement des Technologies et des Systèmes d'Informations et des Systèmes (CETSIS 2005), 2005, Nancy, France.In Marc Thiriet et Michel Robert (éds.), . , 2005.https://hal.science/hal-00578853v1
- [73] C. Angla, J. Bigeon, D. Orban. Modeling and solving bundle adjustment problems. Rapport technique, 2020 ; Ecole Polytechnique de Montréal.https://hal.science/hal-03156502v1
- [74] S. Saad, E. Sourdille, H. Gance, F. Ossart, J. Bigeon. Distribution optimale de la puissance avec infrastructure figée. In G-SCOP Days, mai 2018, Grenoble, France.https://hal.science/hal-03156035v1
- [75] L. Salomon, J. Bigeon, S. Le Digabel. Quality indicators and deterministic algorithms to obtain good Pareto front approximations. In G-SCOP Days, novembre 2017, grenoble, France.https://hal.science/hal-02461462v1