Multi Niche parallel GP with a junk-code migration model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2610, Issue , 2003, Pages 327-334

  Garcia, Santi ^a   Levine, John ^b   Gonzalez, Fermin ^c  

^a UNIVERSITY OF OVIEDO   (Spain)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c Indra Research and Development Institute   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS;

CODE MIGRATION; EVOLUTION PROCESS; FASTER CONVERGENCE; GENETIC DIVERSITY; ISLAND MODEL; MIGRATION MODEL; PARALLEL IMPLEMENTATIONS; SYMBOLIC REGRESSION PROBLEMS;

GENETIC PROGRAMMING;

EID: 35248838719     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36599-0_30     Document Type: Article

References (15)

1. D. Andre and J. Koza. A parallel implementation of genetic programming that achieves super-linear performance. In Proceedings of int. Conf. on Parallel and Distributed Processing Techniques and Applications, pages -. In Arabnia, Hamid R. (editor), 1996.
2. D. Andre and A. Teller. A study in program response and the negative effects of introns in genetic programming. In John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 12-20, Stanford University, CA, USA, 28-31 July 1996. MIT Press.
3. P. J. Angeline. Genetic programming and emergent intelligence. In Kenneth E. Kinnear, Jr., editor, Advances in Genetic Programming, chapter 4, pages 75-98. MIT Press, 1994.
4. F. Fernandez, M. Tomassini, W. F. Punch III, and J. M. Sanchez. Experimental study of multipopulation parallel genetic programming. In Riccardo Poll, Wolfgang Banzhaf, William B. Langdon, Julian F. Miller, Peter Nordin, and Terence C. Fogarty, editors, Genetic Programming, Proceedings of EuroGP'2000, volume 1802 of LNCS, pages 283-293, Edinburgh, 15-16 April 2000. Springer-Verlag.
5. Message Passing Interface Forum. MPI: A message-passing interface standard. Technical Report UT-CS-94-230, 1994.
6. S. García and F. González. Evolutive introns: A non-costly method of using introns in GP. Genetic Programming and Evolvable Machines, 2(2):111-122, June 2001.
7. T. Haynes. Duplication of coding segments in genetic programming. In Proceedings of the Thirteenth National Conference on Artificial Intelligence, pages 344-349, Portland, OR, 1996.
8. I. M. A. Kirkwood, S. H. Shami, and M. C. Sinclair. Discovering simple fault-tolerant routing rules using genetic programming. In ICANNGA97, University of East Anglia, Norwich, UK, 1997.
9. J. R. Koza. Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge, MA, USA, 1992.
10. J.R. Levenick. Inserting introns improves genetic algorithm success rate: Taking a cue from biology. Proceedings of the Fourth International Conference on Genetic algorithms, 1:123-127, 1991.
11. Message Passing Interface Forum MPIF. MPI-2: Extensions to the Message-Passing Interface. Technical Report, University of Tennessee, Knoxville, 1996.
12. P. Nordin, F. Francone, and W. Banzhaf. Explicitly defined introns and destructive crossover in genetic programming. In Justinian P. Rosca, editor, Proceedings of the Workshop on Genetic Programming: From Theory to Real- World Applications, pages 6-22, Tahoe City, California, USA, July 1995.
13. B. Punch. Royal trees as a benchmark problem for genetic programming: A parallel processing example. In Peter J. Angeline and K. E. Kinnear, Jr., editors, Advances in Genetic Programming 2, pages -. MIT Press, Cambridge, MA, USA, 1996.
14. Terence Soule and Robert B. Heckendorn. An analysis of the causes of code growth in genetic programming. Genetic Programming and Evolvable Machines, 3(3):283-309, September 2002.
15. M. Wineberg and F. Oppacher. The benefits of computing with introns. In John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 410-415, Stanford University, CA, USA, 28-31 1996. MIT Press.