Genetic Programming Bibliography entries for Ibrahim Kuscu

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.3949

GP coauthors/coeditors: Chris Thornton, Hilan Bensusan,

Genetic Programming Articles by Ibrahim Kuscu

Genetic Programming PhD doctoral thesis Ibrahim Kuscu

Genetic Programming conference papers by Ibrahim Kuscu

  1. Ibrahim Kuscu. Generalisation and Domain Specific Functions in Genetic Programming. In Proceedings of the 2000 Congress on Evolutionary Computation CEC00, volume 2, pages 1393-1400, La Jolla Marriott Hotel La Jolla, California, USA, 2000. IEEE Press. details

  2. Ibrahim Kuscu. Promoting Generalisation of Learned Behaviours in Genetic Programming. In Agoston E. Eiben and Thomas Back and Marc Schoenauer and Hans-Paul Schwefel editors, Fifth International Conference on Parallel Problem Solving from Nature, volume 1498, pages 491-500, Amsterdam, 1998. Springer-Verlag. details

  3. Ibrahim Kuscu. A Method of Promoting Generalisation in Genetic Programming. In John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, page 192, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

  4. Ibrahim Kuscu. Evolving a Generalised Behavior: Artificial Ant Problem Revisited. In V. William Porto and N. Saravanan and D. Waagen and A. E. Eiben editors, Seventh Annual Conference on Evolutionary Programming, volume 1447, pages 799-808, Mission Valley Marriott, San Diego, California, USA, 1998. Springer-Verlag. details

  5. Ibrahim Kuscu. Generalisation and Genetic Programming. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1998 Conference, page 259, University of Wisconsin, Madison, Wisconsin, USA, 1998. Stanford University Bookstore. details

  6. Ibrahim Kuscu. Simple Genetic Programming for Supervised Learning Problems. In E. Alpaydin and U. Cilingiroglu and F. Gurgen and C. Guzelis editors, Proceedings of Fifth Turkish Syposium on Artificial Intelligence and Neural Networks, TAINN'96, 1996. Bogazici University Press. details

  7. Ibrahim Kuscu. Evolution of Learning Rules for Hard Learning Problems. In Lawrence J. Fogel and Peter J. Angeline and Thomas Baeck editors, Evolutionary Programming V: Proceedings of the Fifth Annual Conference on Evolutionary Programming, San Diego, 1996. MIT Press. details

  8. Ibrahim Kuscu. Evolutionary and Incremental Methods to Solve Hard Learning Problems. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1996 Conference Stanford University July 28-31, 1996, pages 101-106, Stanford University, CA, USA, 1996. Stanford Bookstore. details

  9. Ibrahim Kuscu. Evolutionary and Incremental Methods to Solve Hard Learning Problems. In John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors, Genetic Programming 1996: Proceedings of the First Annual Conference, page 431, Stanford University, CA, USA, 1996. MIT Press. details

  10. Ibrahim Kuscu. Genetic Programming and Incremental Aproaches to Solve Supervised Learning Problems. In T. Fogarty and G. Venturini editors, ICML'96, Evolutionary computing and Machine Learning Workshop, 1996. details

  11. Hilan Bensusan and Ibrahim Kuscu. Constructive Induction using Genetic Programming. In T. Fogarty and G. Venturini editors, ICML'96, Evolutionary computing and Machine Learning Workshop, 1996. details

Genetic Programming technical reports by Ibrahim Kuscu

  1. Ibrahim Kuscu. Incrementally learning the rules for supervised tasks: the Monk's problems. Cognitive Science Research Paper , 396, School of Cognitive and Computing Sciences, University of Sussex, Falmer, Brighton, Sussex, UK, 1995. details

  2. Ibrahim Kuscu. Evolution of learning rules for supervised tasks II: hard learning problems. Cognitive Science Research Paper , 395, School of Cognitive and Computing Sciences, University of Sussex, Falmer, Brighton, Sussex, UK, 1995. details

  3. Ibrahim Kuscu. Evolution of learning rules for supervised tasks I: simple learning problems. Cognitive Science Research Paper , 394, School of Cognitive and Computing Sciences, University of Sussex, Falmer, Brighton, Sussex, UK, 1995. details

  4. Ibrahim Kuscu and Chris Thornton. Design of artificial neural networks using genetic algorithms: review and prospect. Cognitive Science Research Paper , 319, School of Cognitive and Computing Sciences, University of Sussex, Falmer, Brighton, Sussex, UK, 1994. details

Genetic Programming etc Ibrahim Kuscu