Publications

Title

Falkenauer E and Fogel DB (2002) "A Note on the Hierarchical Nature of N-Parent Variation Operators in Evolutionary Algorithms," Information Sciences, Vol. 141(3-4), pp. 273-278.

Fogel DB (2002) Blondie24: Playing at the Edge of AI, Morgan Kaufmann Publishers, Inc., San Francisco, CA.

Fogel DB (2002) "Multiple-Vector Self-Adaptation in Evolutionary Algorithms," Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V, B. Bosacchi, D.B. Fogel, and J.C. Bezdek (chairs), SPIE, Bellingham, WA.

Fogel DB (2002) "Evolving Solutions that are Competitive with Humans," Extended Abstract of Keynote Lecture, PERMIS 2002, Invited by E. Messina and A. Meystel, NIST, August.

Fogel DB and Chellapilla K (2002) "Verifying Anaconda’s Expert Rating by Competing Against Chinook: Experiments in Co-Evolving a Neural Checkers Player," Neurocomputing, Vol. 42, pp. 69-86.

Fogel GB, Porto VW, Weekes DG, Fogel DB, Griffey RH, McNeil JA, Lesnik E, Ecker D, and Sampath R (2002) "Discovery of RNA Structural Elements Using Evolutionary Computation," Nucleic Acids Research, Vol. 30(23), pp. 5310-5317

Fogel GB, Chellapilla K, and Fogel DB (2002) “Identification of Coding Regions in DNA Sequences Using Evolved Neural Networks,” Evolutionary Computation in Bioinformatics, G.B. Fogel and D.W. Corne (eds.), Morgan Kaufmann, San Francisco, pp. 195-218.

Landavazo DG and Fogel GB (2002) "Evolved Neural Networks for Quantitative Structure-Activity Relationships of Anti-HIV Compounds," Proc. 2002 Congress on Evolutionary Computation, Honolulu, HI.

Landavazo DG, Fogel GB, and Fogel DB (2002) "Quantitative Structure-Activity Relationships by Evolved Neural Networks for the Inhibition of Dihydrofolate Reductase by Pyrimidines," BioSystems, Vol. 65(1), pp. 37-47.

Thomsen R, Fogel GB, and Krink T (2002) "A Clustal Alignment Improver Using Evolutionary Algorithms," Proc. 2002 IEEE Congress on Evolutionary Computation, Honolulu, HI.

Whigham PA and Fogel GB, (2002) "Evolutionary Computation in Ecological Modelling," in Understanding Ecology by Biologically Inspired Computation, (F. Recknagel, ed.), Springer-Verlag, Berlin.