On making problems evolutionarily friendly Part 2: Evolving the most convenient coordinate systems within which to pose (and solve) the given problem

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

Volumn 1447, Issue , 1998, Pages 282-290

  Sebald, A V ^a   Chellapilla, K ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING; GRADIENT METHODS; LIME;

CO-ORDINATE SYSTEM; DETECTION PROBLEMS; FITNESS FUNCTIONS; GRADIENT DESCENT; LINEAR DETECTION; NON-TRIVIAL; NONLINEAR DETECTION; PROBLEM REPRESENTATION;

MATHEMATICAL TRANSFORMATIONS;

EID: 84947765852     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0040781     Document Type: Conference Paper

References (10)

1. Bishop CM (1995), Neural networks for pattern recognition, Oxford, NY: Oxford University Press.
2. Chellapilla K (1997a), "Evolutionary programming with tree mutations: evolving computer programs without crossover," Genetic Programming 1997: Proc. of the Second Annual Conference on Genetic Programming, pp. 431-438, CA: Morgan Kaufmann, USA.
3. Chellapilla K (1997b), "Evolving computer programs without subtree crossover," IEEE Tram. On Evolutionary Computation, vol. 1, No. 3, pp. 209-216. Sept. 1997.
4. Fogel DB (1994), "Asymptotic convergence properties of genetic algorithms and evolutionary programming: analysis and experiments," Cybernetics and Systems, vol. 25:3, pp. 389-407.
5. Fogel DB (1995) Evolutionary computation: toward a new philosophy of machine intelligence, Piscataway, NJ: IEEE Press, 1995.
6. Jang J-S R, Sun C-T, and Mizutani E (1997), Neuro-fuzzy and soft computing - a computational approach to learning and machine intelligence, Upper Saddle River, NJ: Prentice Hall.
7. Koza JR (1992), Genetic programming: on the programming of computers by means of natural selection. Cambridge, MΛ: MIT Press, 1992.
8. Rudolph G (1994), "Convergence analysis of canonical genetic algorithms," IEEE Trans. Neural Networks, vol 5:1, pp. 96-101.
9. Sidgewick R (1988) Algorithms, Reading, MA: Addison-Wesley, 1988.
10. Ugur A and Conrad M (1997), "Structuring pattern generalization through evolutionary techniques," Evolutionary Programming VI: Proceedings of the Sixth Annual Conference on Evolutionary Programming, pp. 311-321, Berlin: Springer-Verlag.