Data processing: artificial intelligence – Machine learning – Genetic algorithm and genetic programming system
Reexamination Certificate
2005-09-27
2005-09-27
Hirl, Joseph P. (Department: 2129)
Data processing: artificial intelligence
Machine learning
Genetic algorithm and genetic programming system
C706S014000, C706S012000
Reexamination Certificate
active
06950811
ABSTRACT:
A hybrid method and apparatus for obtaining an optimum video processing system design includes the steps of: (a) using genetic algorithms to find video sample candidates having a best chromosome for performance and associated fitness values; and (b) using a probabilistic method to find local optima based on the fitness values from step (a) in a local search scheme. The results of the probabilistic method are then reinserted into genetic algorithms to increase speed and reduce the processing requirements if only genetic algorithms were used. The results obtained from the genetic algorithms using the local optima found by the probabilistic method may then be output to one of a video processing system and video module. Hardware for an apparatus and system to perform same includes a video source input, a processor, a genetic algorithm module, a probabilistic search module, a memory and at least one video module.
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“Embracing Premature Convergence: The Hypergamous Parallel Genetic Algorithm” by Isaac K. Evans, IEEE World Congress on Computational Intelligence, 1998—XP010288761.
Goodman Edward W.
Hirl Joseph P.
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