XCS with stack-based genetic programming

2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings

Volumn 2, Issue , 2003, Pages 1186-1191

  Lanzi, Pier Luca ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATA THEORY; GENETIC ALGORITHMS; LINEAR PROGRAMMING;

GENETIC OPERATORS; LEARNING CLASSIFIER SYSTEM; LINEAR PROGRAMS; PUSH-DOWN AUTOMATA; STACK MACHINES; STACK-BASED GENETIC PROGRAMMING; TREE-BASED;

GENETIC PROGRAMMING;

EID: 84901405281     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2003.1299803     Document Type: Conference Paper

References (23)

1. Manu Ahluwalia and Larry Bull. A Genetic Programming-based Classifier System. In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Gar- zon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99), pages 11-18. Morgan Kaufmann: San Francisco, CA, 1999.
2. Peter J. Angeline. Subtree crossover causes bloat. In John R. Koza, Wolfgang Banzhaf, Kumar Chel- lapilla, Kalyanmoy Deb, Marco Dorigo, David B. Fo- gel, Max H. Garzon, David E. Goldberg, Hitoshi Iba, and Rick Riolo, editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 745-752, University of Wisconsin, Madison, Wisconsin, USA, 22-25 July 1998. Morgan Kaufmann.
3. Wolfgang Banzhaf, Peter Nordin, Robert E. Keller, and Frank D. Francone. Genetic Programming - An Introduction; On the Automatic Evolution of Computer Programs and its Applications. Morgan Kaufmann. dpunkt.verlag, January 1998.
4. Larry Bull and Matt Studley. Consideration of multiple objectives in neural learning classifier systems. In J.-J. Merelo Guervos, P. Adamidis, H.-G. Beyer, J.-L, Femandez-Villaca nas, and H.-P. Schwe- fel, editors, Parallel Problem Solving from Nature - PPSN VII. 7th International Conference, Granada, Spain, September 7-11, 2002. Proceedings, number 2439 in Lecture Notes in Computer Science, LNCS, page 549 ff. Springer-Verlag, 2002. Keywords: Re- lated::Evolutionnary Robotics, Technique::Classifier systems, Technique: :Multi-objective.
5. Martin V. Butz and Stewart W. Wilson. An algorithmic description of xcs. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 6(3- 4):144-153, 2002.
6. John H. Holland. Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, 1975. Republished by the MIT press, 1992.
7. John H. Holland. Escaping Brittleness: The possibilities of General-Purpose Learning Algorithms Applied to Parallel Rule-Based Systems. In Mitchell, Michal- ski, and Carbonell, editors, Machine learning, an artificial intelligence approach. Volume 2, chapter 20, pages 593-623. Morgan Kaufmann, 1986.
8. Mike J. Keith and Martin C. Martin. Genetic programming in C++: Implementation issues. In Kenneth E, Kinnear, Jr., editor, Advances in Genetic Programming, chapter 13, pages 285-310. MIT Press, 1994.
9. John Koza. Genetic Programming. MIT Press, 1992.
10. John R. Koza. Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge, MA, USA, 1992.
11. William B. Langdon, Terry Soule, Riccardo Poli, and James A. Foster. The evolution of size and shape. In Lee Spector, William B. Langdon, Una-May O'Reilly, and Peter J. Angeline, editors, Advances in Genetic Programming 3, chapters, pages 163-190. MIT Press, Cambridge, MA, USA, June 1999.
12. Pier Luca Lanzi. Extending the Representation of Classifier Conditions Part I: From Binary to Messy Coding. In Wolfgang Banzhaf, Jason Daida, Agos-ton E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 99), pages 337-344, Orlando (FL), July 1999. Morgan Kaufmann.
13. Pier Luca Lanzi. Mining interesting knowledge from data with the xcs classifier system. In Lee Spec- Tor, Erik D. Goodman, Annie Wu, W.B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO- 2001), pages 958-965. San Francisco, CA 94104, USA, 7-n July 2001. Morgan Kaufmann.
14. Pier Luca Lanzi. The xcs library. http://xcslib.sourceforge.net, 2002.
15. Pier Luca Lanzi and Alessandro Perrucci, Extending the Representation of Classifier Conditions Part II: From Messy Coding to S-Expressions. In Wolf-gang Banzhaf Jason Daida. Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 99), pages 345-352, Orlando (FL), July 1999. Morgan Kaufmann.
16. Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors. Learning Classifier Systems: From Foundations to Applications, volume 1813 of Lecture notes in Computer Science. Springer-Verlag, April 2000.
17. Tim Perkis. Stack-based genetic programming. In Proceedings of the 1994 IEEE World Congress on Computational Intelligence, volume 1, pages 148153, Orlando, Florida, USA, 27-29 June 1994, IEEE Press.
18. Dale Schuurmans and Jonathan Schaeffer. Representational Difficulties with Classifier Systems. In J. David Schaffer, editor, Proceedings of the 3rd International Conference on Genetic Algorithms (ICGA89), pages 328-333, George Mason University, June 1989. Morgan Kaufmann. http://www.cs.ualberta.ca/ jonathan/Papers/Papers/classifier.ps.
19. Richard S. Sutton and Andrew G. Barto. Reinforcement Learning - An Introduction. MIT Press, 1998.
20. Stewart W. Wilson. Classifier System mapping of real vectors. In Collected Abstracts for the First International Workshop on Learning Classifier System (IWLCS-92), 1992. October 6-8, NASA Johnson Space Center, Houston, Texas.
21. Stewart W. Wilson. Classifier Fitness Based on Accuracy. Evolutionary Computation, 3 (2)149-195, 1995. http://prediction-dynamics.com/.
22. Stewart W. Wilson. Get Real! XCS with Continuous- Valued Inputs. In Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors, Learning Classifier Systems. From Foundations to Applications, volume 1813 of LNAI, pages 209-219, Berlin, 2000. Springer-Verlag.
23. Stewart W. Wilson. Mining oblique data with xcs. In Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors, IWLCS, volume 1996 of Lecture Notes in Computer Science, pages 158-176. Springer, 2001.