On the improvement of coevolutionary optimizers by learning variable interdependencies

Proceedings of the 1999 Congress on Evolutionary Computation, CEC 1999

Volumn 3, Issue , 1999, Pages 1627-1632

  Weicker, Karsten ^a   Weicker, Nicole ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; EVOLUTIONARY ALGORITHMS;

CO-EVOLUTIONARY; CO-EVOLUTIONARY ALGORITHM; FUNCTION OPTIMIZATION; OPTIMIZERS; SEARCH SPACES; SELF-ADAPT;

ALGORITHMS;

EID: 84901417169     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.1999.785469     Document Type: Conference Paper

References (14)

1. Bäck, T., & Schwefel, H.-P. (1993). An overview of evolutionary algorithms for parameter optimization. Evolutionary Computation, 7(1), 1-23.
2. Das, R., & Whitley, D. L. (1991). The only challenging problems are deceptive: Global search by solving order-1 hyperplanes. In R. K. Belew & L. B. Booker (Eds.), Proc. of the Fourth Int. Conf. on Genetic Algorithms (pp. 166-173). San Mateo, CA: Morgan Kaufmann.
3. Deb, K., Horn, J., & Goldberg, D. E. (1993). Multimodal deceptive functions. Complex Systems, 7, 131-153.
4. Kargupta, H., & Goldberg, D. E. (1994). Decision making in genetic algorithms: A signal-to-noise perspective (Tech. Rep. No. IllIGAL 94004). Urbana, IL: Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign.
5. Kauffman, S. A. (1993). The origins of order. Oxford: Oxford University Press.
6. Paredis, J. (1996). Symbiotic coevolution for epistatic problems. In W. Wahlster (Ed.), 12th European Conference on Artificial Intelligence. Chichester: John Wiley & Sons, Ltd.
7. Potter, M. A. (1997). The design and analysis of a computational model of cooperative coevolution. Unpublished doctoral dissertation, George Mason University.
8. Potter, M. A., & De Jong, K. (1994). A cooperative coevolutionary approach to function optimization. In Y. Davidor, H.-P. Schwefel, & R. Männer (Eds.), Parallel Problem Solving from Nature - PPSN III (pp. 249-257). Berlin: Springer. (Lecture Notes in Computer Science 866)
9. Potter, M. A., & De Jong, K. (1995). Evolving neural networks with collaborative species. In Proc. of the 1995 Summer Computer Simulation Conf. (pp. 340-345). The Society of Computer Simulation.
10. Potter, M. A., & De Jong, K. (1998). The coevolution of antibodies for concept learning. In A. E. Eiben, T. Bäck, M. Schoenauer, & H.-P. Schwefel (Eds.), Parallel Problem Solving from Nature - PPSN V (pp. 530-539). Berlin: Springer. (Lecture Notes in Computer Science 1498)
11. Potter, M. A., De Jong, K., & Grefenstette, J. (1995). A coevolutionary approach to learning sequential decision rules. In L. J. Eshelman (Ed.), Proc. of the Sixth Int. Conf. on Genetic Algorithms (pp. 366-372). San Mateo, CA: Morgan Kaufman.
12. Salomon, R. (1996). Reevaluating genetic algorithm performance under coordinate rotation of benchmark functions. BioSystems, 59(3), 263-278.
13. Schwefel, H.-P. (1977). Numerische Optimierung von Computer-Modellen mittels der Evolutionsstrategie [Numeric optimization of computer models using the evolution strategy]. Basel: Birkhäuser. (Volume 26 of Interdisciplinary Systems Research)
14. Spedicato, E. (1975). Computational experience with quasi-Newton algorithms for minimization problems of moderately large size (Tech. Rep. No. CISE-N-175). Milano, Italy: Centro Informazioni Studi Espeienze.