Investigating the performance of module acquisition in cartesian genetic programming

GECCO 2005 - Genetic and Evolutionary Computation Conference

Volumn , Issue , 2005, Pages 1649-1656

  Walker, James Alfred ^a   Miller, Julian Francis ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

Author keywords

Cartesian Genetic Programming; Computational Effort; Digital Adders; Digital Comparators; Digital Multipliers; Modularity; Module Acquisition

Indexed keywords

ADDERS; COMPUTATIONAL COMPLEXITY; GRAPH THEORY; MULTIPLYING CIRCUITS; PROBLEM SOLVING;

CARTESIAN GENETIC PROGRAMMING; COMPUTATIONAL EFFORT; DIGITAL ADDERS; DIGITAL COMPARATORS; DIGITAL MULTIPLIERS; MODULARITY; MODULE ACQUISITION;

MATHEMATICAL PROGRAMMING;

EID: 32444450821     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1068009.1068287     Document Type: Conference Paper

References (17)

1. nd Annual Conference on Evolutionary Programming, pp. 154-163, MIT Press, Cambridge.
2. Dessi, A. Giani, A. Starita, A. (1999) An Analysis of Automatic Subroutine Discovery in Genetic Programming, GECCO 1999: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 996-1001, Morgan-Kaufmann, San Francisco.
3. Koza, J. R. (1993) Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press, London.
4. Koza, J. R. (1994) Genetic Programming II: Automatic Discovery of Reusable Programs, MIT Press, London.
5. Miller, J. F., Thomson, P., and Fogarty T. C. (1997) Designing Electronic Circuits Using Evolutionary Algorithms. Arithmetic Circuits: A Case Study, Genetic Algorithms and Evolution Strategies in Engineering and Computer Science: Recent Advancements and Industrial Applications. Editors: D. Quagliarella, J. Periaux, C. Poloni and G. Winter, Wiley.
6. Miller, J. F. (1999) An Empirical Study of the Efficiency of Learning Boolean Functions using a Cartesian Genetic Programming Approach, GECCO 1999: Proceedings of the Genetic and Evolutionary Computation Conference, Orlando, Florida, pp 1135-1142, Morgan Kaufmann, San Francisco.
7. rd European Conference on Genetic Programming, Edinburgh, Lecture Notes in Computer Science, Vol. 1802, pp 121-132, Springer-Verlag, Berlin.
8. Poli, R. (1996), Parallel Distributed Genetic Programming, Technical Report, CSRP-96-15, University of Birmingham, UK.
9. Rosca, J. P. (1995) Genetic Programming Exploratory Power and the Discovery of Functions, Proceedings of the 4th Annual Conference of Evolutionary Programming, San Diego, pp 719-736, MIT Press, Cambridge.
10. Spector, L. (1996) Simultaneous evolution of programs and their control structures, Advances in Genetic Programming II, pp. 137-154, MIT Press, Cambridge.
11. Spector, L. (2001) Autoconstructive Evolution: Push, PushGP, and Pushpop, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2001, pp. 137-146. San Francisco, CA: Morgan Kaufmann Publishers
12. Van Belle, T, and Ackley, D.H. (2001) Code Factoring and the Evolution of Evolvability, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2001, pp. 1383-1390. San Francisco, CA: Morgan Kaufmann Publishers
13. Vassilev, V. K. and Miller J. F. (2000) The Advantages of Landscape Neutrality in Digital Circuit Evolution, Proceedings of the 3rd International Conference on Evolvable Systems: From Biology to Hardware (ICES2000,), Lecture Notes in Computer Science, Vol. 1801, 252-263. Springer, Berlin.
14. nd NASA/DOD Workshop on Evolvable Hardware, IEEE Computer Society Press, pp. 55-64.
15. Walker, J. A. Miller, J. F. (2004) Evolution and Acquisition of Modules in Cartesian Genetic Programming, Proc. of the 7th European Conference on Genetic Programming, Lecture Notes in Computer Science, Vol. 3003, pp 187-197, Springer-Verlag, Berlin.
16. Woodward, J. R. (2003) Modularity in Genetic Programming, Proceedings of the Fifth European Conference on Genetic Programming, Lecture Notes in Computer Science, Vol. 2610, pp. 258-267, Springer-Verlag, Berlin.
17. Yu, T. and Miller, J. F. (2001) Neutrality and the Evolvability of Boolean Function Landscape, Proceedings of the 4th European Conference on Genetic Programming, Lecture Notes in Computer Science, Vol. 2038, pp. 204-217, Springer-Verlag, Berlin.