| Metaheuristics for hard optimization: methods and case studies J Dréo, A Pétrowski, P Siarry, E Taillard Springer Science & Business Media, 2006 | 754 | 2006 |
| Métaheuristiques pour l'optimisation difficile J Dréo, A Pétrowski, P Siarry, E Taillard Eyrolles, 2003 | 323 | 2003 |
| Continuous interacting ant colony algorithm based on dense heterarchy J Dréo, P Siarry Future Generation Computer Systems 20 (5), 841-856, 2004 | 206 | 2004 |
| A new ant colony algorithm using the heterarchical concept aimed at optimization of multiminima continuous functions J Dréo, P Siarry International Workshop on Ant Algorithms, 216-221, 2002 | 175 | 2002 |
| An ant colony algorithm aimed at dynamic continuous optimization J Dréo, P Siarry Applied Mathematics and Computation 181 (1), 457-467, 2006 | 59 | 2006 |
| Operating room planning with random surgery times M Lamiri, J Dreo, X Xie Automation Science and Engineering, 2007. CASE 2007. IEEE International …, 2007 | 38 | 2007 |
| Adaptation de la méthode des colonies de fourmis pour l’optimisation en variables continues. Application en génie biomédical J Dréo PhD thesis, Paris 12, 2004 | 29 | 2004 |
| Robust rigid registration of retinal angiograms through optimization J Dréo, JC Nunes, P Siarry Computerized Medical Imaging and Graphics 30 (8), 453-463, 2006 | 26 | 2006 |
| Hybrid continuous interacting ant colony aimed at enhanced global optimization J Dréo, P Siarry Algorithmic Operations Research 2 (1), 2007 | 24 | 2007 |
| Adaptive learning search, a new tool to help comprehending metaheuristics J DrEO, JP Aumasson, W Tfaili, P Siarry International Journal on Artificial Intelligence Tools 16 (03), 483-505, 2007 | 23 | 2007 |
| Divide-and-evolve: the marriage of descartes and darwin J Dréo, P Savéant, M Schoenauer, V Vidal Proceedings of the 7th international planning competition (IPC). Freiburg …, 2011 | 18 | 2011 |
| Using performance fronts for parameter setting of stochastic metaheuristics J Dréo Proceedings of the 11th Annual Conference Companion on Genetic and …, 2009 | 17 | 2009 |
| Fitting of an ant colony approach to dynamic optimization through a new set of test functions W Tfaili, J Dréo, P Siarry International Journal of Computational Intelligence Research 3 (3), 205-218, 2007 | 16 | 2007 |
| Line formation algorithm in a swarm of reactive robots constrained by underwater environment T Sousselier, J Dreo, M Sevaux Expert Systems with Applications 42 (12), 5117-5127, 2015 | 15 | 2015 |
| Pareto-Based Multiobjective AI Planning. MR Khouadjia, M Schoenauer, V Vidal, J Dréo, P Savéant IJCAI, 2321-2327, 2013 | 12 | 2013 |
| Multi-objective AI Planning: Evaluating DaE YAHSP on a Tunable Benchmark MR Khouadjia, M Schoenauer, V Vidal, J Dréo, P Savéant International Conference on Evolutionary Multi-Criterion Optimization, 36-50, 2013 | 11 | 2013 |
| Diverses techniques d’optimisation inspirées de la théorie de l’auto-organisation dans les systemes biologiques J Dréo, P Siarry Journée optimisation par essaim particulaire (OEP’2003) 2, 2003 | 8 | 2003 |
| Feature based algorithm configuration: A case study with differential evolution N Belkhir, J Dréo, P Savéant, M Schoenauer International Conference on Parallel Problem Solving from Nature, 156-166, 2016 | 6 | 2016 |
| Multi-objective AI planning: comparing aggregation and pareto approaches MR Khouadjia, M Schoenauer, V Vidal, J Dréo, P Savéant European Conference on Evolutionary Computation in Combinatorial …, 2013 | 6 | 2013 |
| Métaheuristiques pour l\'optimisation et auto-organisation dans les systèmes biologiques J Dréo, P Siarry Technique et Science Informatiques 25 (2), 221-240, 2006 | 6 | 2006 |
Patrick SIARRYUniversité Paris-Est CréteilAdresse e-mail validée de univ-paris12.fr