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Belew, R K, & Mitchell, M (Eds) (1996) Adaptive individuals in evolving populations: Models and algorithms Reading, MA: Addison-Wesley Bledsoe, W (1961) The use of biological concepts in the analytical study of systems Proceedings of the ORSA-TIMS National Meeting, San Francisco Booker, L B, Goldberg, D E, & Holland, J H (1989) Classifier systems and genetic algorithms Artificial Intelligence, 40, 235-282 Box, G (1957) Evolutionary operation: A method for increasing industrial productivity Jountal of the Royal Statistical Society, 6(2), 81-101 Cohoon, J P, Hegde, S U, Martin, W N, & Richards, D (1987) Punctuated equilibria: A parallel genetic algorithm Proceedings of the Second International Conference on Genetic Algorithms (pp 148-154) DeJong, K A (1975) An analysis of behavior of a class of genetic adaptive systems (PhD dissertation) University of Michigan DeJong, K A, Spears, W M, & Gordon, D F (1993) Using genetic algorithms for concept learning Machine Learning, 13, 161-188 Folgel, L J, Owens, A J, & Walsh, M J (1966) Artificial intelligence through simulated evolution New York: John Wiley & Sons Fogel, L J, & Atmar, W (Eds) (1993) Proceedings of the Second Annual Conference on Evolutionary Programming Evolutionary Programming Society Forrest, S (1993) Genetic algorithms: Principles of natural selection applied to computation Science, 261, 872-878 French, R, & Messinger A (1994) Genes, phenes, and the Baldwin effect: Learning and evolution in a simulated population In R Brooks and P Maes (Eds), ArtiJicial Life IV Cambridge, MA: MIT Press Goldberg, D (1989) Genetic algorithms in search, optimization, and machine learning Reading, MA: Addison-Wesley Goldberg, D (1994) Genetic and evolutionary algorithms come of age Communicationsof the ACM, 37(3), 113-1 19 Green, D P, & Smith, S F (1993) Competition based induction of decision models from examples Machine Learning, 13,229-257 Grefenstette, J J (1988) Credit assignment in rule discovery systems based on genetic algorithms Machine Learning, 3, 225-245 Grefenstette, J J (1991) Lamarckian learning in multi-agent environments In R Belew and L Booker (Eds), Proceedings of the Fourth International Conference on Genetic Algorithms San Mateo, CA: Morgan Kaufmann Hart, W, & Belew, R (1995) Optimization with genetic algorithm hybrids that use local search In R Below and M Mitchell (Eds), Adaptive individuals in evolving populations: Models and algorithms Reading, M A : Addison-Wesley Harvey, I (1993) The puzzle of the persistent question marks: A case study of genetic drift In Forrest (Ed), Proceedings of the Fzfth International Conference on Genetic Algorithms San Mateo, CA: Morgan Kaufmann Hinton, G &, & Nowlan, S J (1987) How learning can guide evolution Complex Systems, 1, 495-502 Holland, J H (1962) Outline for a logical theory of adaptive systems Journal of the Association for Computing Machinery, 3, 297-314 Holland, J H (1975) Adaptation in natural and art$cial systems University of Michigan Press (reprinted in 1992 by MIT Press, Cambridge, MA).

Listing 7 7. The Corrected ColorController.h Code #import <Cocoa/Cocoa.h> @interface ColorController : NSObject { int redIntValue; int greenIntValue; int blueIntValue; float alphaFloatValue; IBOutlet NSColorWell *colorWell; } @property(readwrite, assign) int redIntValue; @property(readwrite, assign) int greenIntValue; @property(readwrite, assign) int blueIntValue; @property(readwrite, assign) float alphaFloatValue; - (IBAction)setNewColor:(id)sender; - (void)updateColorWell; @end

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