Data processing: artificial intelligence – Machine learning – Genetic algorithm and genetic programming system
Reexamination Certificate
2008-09-09
2008-09-09
Holmes, Michael B (Department: 2129)
Data processing: artificial intelligence
Machine learning
Genetic algorithm and genetic programming system
Reexamination Certificate
active
09896036
ABSTRACT:
A method for genetic programming which is based on multiple genetic data component representations. Multiple genetic data component representations are determined and a solution is evolved using a set of genetic data components represented by the multiple genetic data component representations.
REFERENCES:
patent: 5136686 (1992-08-01), Koza
patent: 5148513 (1992-09-01), Koza et al.
patent: 5249259 (1993-09-01), Harvey
patent: 5390282 (1995-02-01), Koza et al.
patent: 5867397 (1999-02-01), Koza et al.
patent: 6922712 (2005-07-01), Pelton et al.
patent: 6988089 (2006-01-01), Kirshenbaum et al.
patent: 7072814 (2006-07-01), Stoica
Melanie Mitchell “An Introduction to Genetic Algorithms” © 1996 Massachusetts Institute of Technology (MIT),chapter II, pp.
Multiple genetic algorithm processor for the economic power dispatch problemSalami, M.; Cain, G.; Genetic Algorithms in Engineering Systems: Innovations and Applications, 1995. Galesia. First International Conference on Sep. 12-14, 1995 pp. 188-193.
Application of multiple genetic algorithm processor in complex systems Salami, M.; Cain, G.; Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on , Nov. 20-23, 1995 pp. 178-181.
Using multiple genetic algorithms to generate radar point-scatterer models Hughes, E.J.; Leyland, M.; Evolutionary Computation, IEEE Transactions on , vol. 4, Issue: 2 , Jul. 2000 pp. 147-163.
Hybridized crossover-based search techniques for program discovery O'Reilly, U.-M.; Oppacher, F.; Evolutionary Computation, 1995., IEEE International Conference on vol. 2, Nov. 29-Dec. 1, 1995 pp. 573-578 vol. 2 Digital Object Identifier 10.1109/ICEC.1995.487447.
Immune genetic programming based on register-stack structure Zeming Zhang; Wenjian Luo; Xufa Wang; Evolutionary Computation, 2007. CEC 2007. IEEE Congress on Sep. 25-28, 2007 pp. 3751-3758 □□Digital Object Identifier 10.1109/CEC.2007.4424959 □□.
Evolution of Processor microcode Jackson, D.; Evolutionary Computation, IEEE Transactions on vol. 9, Issue 1, Feb. 2005 pp. 44-54 Digital Object Identifier 10.1109/TEVC.2004.837922.
Human readable genetic rules for scene boundary detection Parmar, M.J.; Angelides, M.C.; Advanced Information Networking and Applications, 2005. AINA 2005. 19th International Conference on vol. 2, Mar. 28-30, 2005 pp. 541-546 vol. 2 Digital Object Identifier 10.1109/AINA.2005.201.
Efficient machine-code test-program induction Corno, F.; Cumani, G.; Sonza Reorda, M.; Squillero, G.; Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on vol. 2, May 12-17, 2002 pp. 1486-1491 Digital Object Identifier 10.1109/CEC.2002.1004462.
Hewlett--Packard Development Company, L.P.
Holmes Michael B
LandOfFree
Multi-module genetic programming with multiple genetic data... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Multi-module genetic programming with multiple genetic data..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multi-module genetic programming with multiple genetic data... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3953527