Universal system for artificial intelligence based learning, cat

Data processing: artificial intelligence – Machine learning – Genetic algorithm and genetic programming system

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706 14, G06F 1518

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058484027

ABSTRACT:
A parallel, distributed processing system is provided for solving NP-hard problems, and the like, efficiently, quickly and accurately. The system employs parallel processors which are iteratively and intelligently allocated for a series of generations of child solutions from selected, previous generation or parent solutions. The system employs multiple levels of competition for generating a next level of possible solutions and for reallocating processor resources to the most promising regions for finding a best solution to the task. This includes both inter-family competition, as well as intra-family competition. System temperature data are set and gradually decreased with each succeeding generation. A degree of randomness is entered into the solution generation. The hierarchical and iterative process, incorporating randomness and a decreasing temperature provides for the guided evolutionary simulated annealing solution generation.

REFERENCES:
patent: 4843540 (1989-06-01), Stolfo
patent: 4858147 (1989-08-01), Conwell
patent: 4933871 (1990-06-01), DiSieno
patent: 5088048 (1992-02-01), Dixon et al.
patent: 5163133 (1992-11-01), Morgan et al.
patent: 5175854 (1992-12-01), Cheung et al.
patent: 5214746 (1993-05-01), Fogel et al.
patent: 5361385 (1994-11-01), Bakalash
patent: 5442758 (1995-08-01), Slingwine et al.
Percy P.C. Yip, et al., Combinatorial Optimization with Use of Guided Evolutionary Simulated Annealing, IEEE Transactions on Neural Networks, vol. 6 No. 2, pp. 290-295, Mar. 1993.
Percy P.C. Yip, et al., A Guided Evolutionary Simulated Annealing Approach to the Quadratic Assignment Problem, IEEE Transactions on Systems, Man, and Cybernetics, vol. 24 No. 9, pp. 1383-1387, Sep. 1994.
Samir W. Mahfoud, et al., Parallel recombinative simulated annealing: A genetic algorithm, Parallel Computing, pp. 1-28, Jan. 21, 1995.
Piet Spiessens, A Massively Parallel Genetic Algorithm Implementation and First Analysis, Proceedings Of The Fourth International Conference on Genetic Algorithms, San Diego, California, pp. 279-285, Jul. 13-16, 1991.
Yip, Percy P.C., et al. "A Parallel and Distributed Processing Algorithm for Facility Layout," Neural Networks in Design and Manufacturing, 1993 pp. 77-97.
Yip, Percy P.C. et al., "A New Approach to the Traveling Salesman Problem," International Joing Conference on Neural Networks, 1993, pp. 1569-1572.
Yip, Percy P.C. et al., "A New Optimizer for the Facility Layout Problem," International Joint Conference on Neural Networks, 1993, pp. 1573-1576.
Yip, Percy P.C. et al., "A Fast Universal Training Algorithm for Neural Networks," Proceedings of World Congress on Neural Network, vol. III, 1993, pp. 614-621.
Yip, Percy P.C. et al., "Growing Neural Networks Using Guided Evolutionary Simulated Annealing," The Third Annual Conference on Evolutionary Programming, Feb. 1994, pp. 1-9.
Yip, Percy P.C., et al., "A Guided Evolutionary Computation Technique as Function Optimizer," The IEEE Conference on Evolutionary Computation, Jun. 1994, pp. 1-6.
Yip, Percy P.C. et al., "A Guided Evolutionary Simulated Annealing Approach to the Quadratic Assignment Problem," The IEEE Transactions on Systems, Man, and Cybernetics, vol. 24, No. 9, Sep. 1994, pp. 1-24.
Holland, John H., "Genetic Algorithms," Scientific American, Jul. 1992, pp. 66-72.
Rioio, Rick L., "The Amateur Scientist," Scientific American, Jul. 1992, pp. 114-116.
Goldberg, David E., Genetic Algorithms in Search, Optimization, and Machine Learning, Jan. 1989, Chapter 1, pp. 10-14.
Goldberg, David E., "Computer Implementation," Genetic Algorithms in Search, Optimization, and Machine Learning, Jan. 1989, Chapter 3, pp. 59-125.
Murdock, T.M. et al., "Use of a Genetic Algorithm to Analyze Robust Stability Problems," Proceedings of the American Control Conference, 1991 vol. 1, pp. 886-889.
Voigt, Hans-Michael et al., "A Structured Distributed Genetic Algorithm for Function Optimisation," pp. 199-208.
Tsuchiya, Kazuhiro, "Th Survey for the Genetic Algorithm," Jan. 1993.
Prados, D.L., "New Learning Algorithm for Training Multilayered Neural Networks That Uses Genetic-Algorithm Techniques," Jun. 1992.
Fogel, D.B. et al., "Comparing Genetic Operators with Gaussian Mutations in Simulated Evolutionary Processes Using Linear Systems," Biological Cybernetics, 1990, pp. 111-114.
Muhlenbein, H. et al., "The Parallel Genetic Algorithm as Function Optimizer," Parallel Computing, 1991, pp. 619-632.
Bornholdt, Stefan et al., "General Asymmetric Neural Networks and Structure Design by Genetic Algorithms," Neural Networks, 1992, vol. 5, pp. 327-334.
Fogel, D.B., "An Evolutionary Approach to the Traveling Salesman Problem," Biological Cybernetics, 1988, pp. 139-144.

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