Genetic Programming Bibliography entries for Mihai Oltean

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GP coauthors/coeditors: Laura Diosan, Alexandrina Rogozan, Jean Pierre Pecuchet, Oana Muntean, Dumitru Dumitrescu, Crina Grosan, Mihaela Oltean, Cristina Mihaila,

Genetic Programming Articles by Mihai Oltean

  1. Mihai Oltean and Crina Grosan and Laura Diosan and Cristina Mihaila. Genetic Programming with Linear Representation: a Survey. International Journal on Artificial Intelligence Tools, 18(2):197-238, 2009. details

  2. Mihai Oltean and Laura Diosan. An autonomous GP-based system for regression and classification problems. Applied Soft Computing, 9(1):49-60, 2009. details

  3. Laura Diosan and Mihai Oltean. Evolutionary design of Evolutionary Algorithms. Genetic Programming and Evolvable Machines, 10(3):263-306, 2009. details

  4. Mihai Oltean and Crina Grosan. Using traceless genetic programming for solving multi-objective optimization problems. Journal of Experimental \& Theoretical Artificial Intelligence, 19(3):227-248, 2007. details

  5. Mihai Oltean. Evolving Evolutionary Algorithms with Patterns. Soft Computing, 11(6):503-518, 2007. details

  6. Mihai Oltean. Evolving Evolutionary Algorithms Using Linear Genetic Programming. Evolutionary Computation, 13(3):387-410, 2005. details

  7. Mihai Oltean and Crina Grosan. A Comparison of Several Linear Genetic Programming Techniques. Complex Systems, 14(4):285-313, 2004. details

Genetic Programming conference papers by Mihai Oltean

  1. Oana Muntean and Mihai Oltean. Processing Bank Checks with Genetic Programming and Histograms. In ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, BLISS 2007, pages 102-105, Edinburgh, 2007. IEEE Computer Society. details

  2. Mihai Oltean. Liquid State Genetic Programming. In Bartlomiej Beliczynski and Andrzej Dzielinski and Marcin Iwanowski and Bernardete Ribeiro editors, 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, Part I, volume 4431, pages 220-229, Warsaw, Poland, 2007. Springer. details

  3. Oana Muntean and Laura Diosan and Mihai Oltean. Solving the even-n-parity problems using Best SubTree Genetic Programming. In Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), pages 511-518, Edinburgh, 2007. IEEE. details

  4. Laura Diosan and Mihai Oltean and Alexandrina Rogozan and Jean Pierre Pecuchet. Genetically designed multiple-kernels for improving the SVM performance. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1873-1873, London, 2007. ACM Press. details

  5. Oana Muntean and Laura Diosan and Mihai Oltean. Best SubTree genetic programming. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1667-1673, London, 2007. ACM Press. details

  6. Laura Dio\csan and Mihai Oltean. Evolving crossover operators for function optimization. In Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 97-108, Budapest, Hungary, 2006. Springer. details

  7. Mihai Oltean. A-Brain: The multiple problems solver. In Hisham M. Haddad (et al.) editor, Symposium on Applied Computing, volume 2, pages 955-959, Bourgogne University, Dijon, France, 2006. The Association for Computing Machinery. details

  8. Mihai Oltean. Evolving reversible circuits for the even-parity problem. In Franz Rothlauf and Juergen Branke and Stefano Cagnoni and David W. Corne and Rolf Drechsler and Yaochu Jin and Penousal Machado and Elena Marchiori and Juan Romero and George D. Smith and Giovanni Squillero editors, Applications of Evolutionary Computing, EvoWorkshops2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3449, pages 225-234, Lausanne, Switzerland, 2005. Springer Verlag. details

  9. Mihai Oltean. Searching for a Practical Evidence for the No Free Lunch Theorems. In Auke Jan Ijspeert and Masayuki Murata and Naoki Wakamiya editors, Biologically Inspired Approaches to Advanced Information Technology: First International Workshop, BioADIT 2004, volume 3141, pages 472-483, Lausanne, Switzerland, 2004. Springer-Verlag. Revised Selected Papers. details

  10. Mihai Oltean. Solving Even-Parity Problems using Traceless Genetic Programming. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, volume 2, pages 1813-1819, Portland, Oregon, 2004. IEEE Press. details

  11. Mihai Oltean and D. Dumitrescu. Evolving TSP Heuristics Using Multi Expression Programming. In Marian Bubak and Geert Dick van Albada and Peter M. A. Sloot and Jack Dongarra editors, Computational Science - ICCS 2004: 4th International Conference, Part II, volume 3037, pages 670-673, Krakow, Poland, 2004. Springer-Verlag. details

  12. Mihai Oltean and Crina Grosan and Mihaela Oltean. Encoding Multiple Solutions in a Linear Genetic Programming Chromosome. In Marian Bubak and Geert Dick van Albada and Peter M. A. Sloot and Jack Dongarra editors, Computational Science - ICCS 2004: 4th International Conference, Part III, volume 3038, pages 1281-1288, Krakow, Poland, 2004. Springer-Verlag. details

  13. Mihai Oltean and Crina Grosan and Mihaela Oltean. Evolving Digital Circuits for the Knapsack Problem. In Marian Bubak and Geert Dick van Albada and Peter M. A. Sloot and Jack Dongarra editors, Computational Science - ICCS 2004: 4th International Conference, Part III, volume 3038, pages 1257-1264, Krakow, Poland, 2004. Springer. details

  14. Mihai Oltean and Crina Grosan. Evolving Digital Circuits using Multi Expression Programming. In Ricardo S. Zebulum and David Gwaltney and Gregory Horbny and Didier Keymeulen and Jason Lohn and Adrian Stoica editors, Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware, pages 87-97, Seattle, 2004. IEEE Press. details

  15. Mihai Oltean and Crina Grosan. Evolving Evolutionary Algorithms Using Multi Expression Programming. In Wolfgang Banzhaf and Thomas Christaller and Peter Dittrich and Jan T. Kim and Jens Ziegler editors, Advances in Artificial Life. 7th European Conference on Artificial Life, pages 651-658, Dortmund, Germany, 2003. Springer. details

  16. Mihai Oltean and Crina Grosan. Solving Classification Problems Using Infix Form Genetic Programming. In Michael R. Berthold and Hans-Joachim Lenz and Elizabeth Bradley and Rudolf Kruse and Christian Borgelt editors, Advances in Intelligent Data Analysis V, volume 2810, pages 242-253, Berlin, Germany, 2003. Springer. details

  17. Mihai Oltean. Solving Even-Parity Problems using Multi Expression Programming. In Ken Chen (et al) editor, 7th Joint Conference on Information Sciences, volume 1, pages 315-318, North Carolina, 2003. Association for Intelligent Machinery. details

  18. Mihai Oltean. Evolving Evolutionary Algorithms for Function Optimization. In Ken Chen (et al) editor, The 7th Joint Conference on Information Sciences, volume 1, pages 295-298, North Carolina, 2003. Association for Intelligent Machinery. details

Genetic Programming book chapters by Mihai Oltean

Genetic Programming other entries for Mihai Oltean