R. Stoean, D. Dumitrescu, M. Preuss, and C. Stoean. Different techniques of multi-class evolutionary support vector machines. In L. P. D. Dumitrescu, editor, Bio-Inspired Computing: Theory and Applications (BIC-TA 2006), pages 299-306, China, 2006. [ bib ]

C. Stoean, D. Dumitrescu, M. Preuss, and R. Stoean. Cooperative coevolution for classification. In L. P. D. Dumitrescu, editor, Bio-Inspired Computing: Theory and Applications (BIC-TA 2006), pages 289-298, China, 2006. [ bib ]

C. Stoean, R. Stoean, M. Preuss, and D. Dumitrescu. A cooperative evolutionary algorithm for classification. International Journal of Computers, Communications & Control, (Supplementary Issue, International Conference on Computers and Communications - ICCC 2006, Baile Felix Spa - Oradea, Romania):417-422, 2006. [ bib ]

R. Stoean, C. Stoean, M. Preuss, and D. Dumitrescu. Evolutionary multi-class support vector machines for classification. International Journal of Computers, Communications & Control, (Supplementary Issue, International Conference on Computers and Communications - ICCC 2006, Baile Felix Spa - Oradea, Romania):423-428, 2006. [ bib ]

R. Stoean, C. Stoean, M. Preuss, E. El-Darzi, and D. Dumitrescu. Evolutionary Support Vector Machines for Diabetes Mellitus Diagnosis. In Proceedings 3rd International IEEE Conference on Intelligent Systems - IS 2006, University of Westminster, London, pages 182-187, Piscataway, NJ, 2006. IEEE Press. [ bib ]

R. Stoean, C. Stoean, M. Preuss, and D. Dumitrescu. Evolutionary Support Vector Machines for Spam Filtering. In R. Brad, editor, RoEduNet IEEE International Conference, Sibiu, Romania, pages 261-266, 2006. [ bib ]

C. Stoean, R. Stoean, M. Preuss, and D. Dumitrescu. Spam Filtering by Means of Cooperative Coevolution. In H. N. Teodorescu, editor, 4th European Conference on Intelligent Systems and Technologies, ECIT 2006, Iasi, Romania, pages 157-159. Performantica Press, 2006. [ bib ]

R. Stoean, C. Stoean, M. Preuss, and D. Dumitrescu. Forecasting Soybean Diseases from Symptoms by Means of Evolutionary Support Vector Machines. Phytologia Balcanica, 12(3):345-350, 2006. [ bib ]

M. Preuss. Niching Prospects. In B. Filipic and J. Silc, editors, Bioinspired Optimization Methods and their Applications (BIOMA 2006), pages 25-34. Jozef Stefan Institute, Ljubljana, Slovenia, 2006. [ bib | pdf download  ]

R. Stoean, D. Dumitrescu, M. Preuss, and C. Stoean. Evolutionary Support Vector Regression Machines. In L. O'Conner, editor, 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2006), pages 330-335, Los Alamitos, CA, USA, 2006. IEEE Computer Society. [ bib | pdf download  ]

C. Stoean, M. Preuss, D. Dumitrescu, and R. Stoean. Cooperative Evolution of Rules for Classification. In L. O'Conner, editor, 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2006), pages 317-322, Los Alamitos, CA, USA, 2006. IEEE Computer Society. [ bib | pdf download  ]

T. Bartz-Beielstein, M. Preuss, and G. Rudolph. Investigation of one-go evolution strategy/quasi-newton hybridizations. In F. A. et al., editor, Hybrid Metaheuristics, Third International Workshop, HM 2006, Proceedings, volume 4030 of Lecture Notes in Computer Science, pages 178-191, Berlin, 2006. Springer. [ bib | pdf download  ]

M. Preuß, B. Naujoks, and G. Rudolph. Pareto set and EMOA behavior for simple multimodal multiobjective functions. In T. P. Runarsson, H.-G. Beyer, E. Burke, J. J. Merelo-Guervós, L. D. Whitley, and X. Yao, editors, Parallel Problem Solving from Nature - PPSN IX, Proc. Ninth Int'l Conf., Reykjavik, volume 4193 of Lecture Notes in Computer Science, pages 513-522, Berlin, 2006. Springer. [ bib | pdf download  ]

M. Giacobini, M. Preuß, and M. Tomassini. Effects of scale-free and small-world topologies on binary coded self-adaptive CEA. In J. Gottlieb and G. R. Raidl, editors, Sixth European Conf. Evolutionary Computation in Combinatorial Optimization, Proc. (EvoCOP'06), volume 3906 of Lecture Notes in Computer Science, pages 86-98, Berlin, 2006. Springer. [ bib | pdf download  ]

T. Bartz-Beielstein and M. Preuss. Considerations of Budget Allocation for Sequential Parameter Optimization (SPO). In L. Paquete, M. Chiarandini, and D. Basso, editors, Empirical Methods for the Analysis of Algorithms, Workshop EMAA 2006, Proceedings, pages 35-40, Reykjavik, Iceland, September 2006. [ bib | pdf download  ]