Data processing: artificial intelligence – Machine learning – Genetic algorithm and genetic programming system
Reexamination Certificate
2005-06-14
2005-06-14
Davis, George (Department: 2121)
Data processing: artificial intelligence
Machine learning
Genetic algorithm and genetic programming system
Reexamination Certificate
active
06907411
ABSTRACT:
A carrier dispatch and transfer method is disclosed, which actuates an optimal carrier dispatch and transfer table for generating elements with a kernel of genetic algorithm by a multi-thread method to search setting confinement conditions and object. A plurality of samples are generated randomly, each including a two dimensional carrier dispatch encoding table. The carrier dispatch encoding table and its transportation duties correspond to chromosomes and genes in a genetic algorithm. The samples are utilized as parent generations for being estimated according to a defined object function and a confinement formula. By rule of roulette wheel, selection possibilities of chromosomes with relative superior fitness values are enhanced. After performing processes of chromosome crossover and mutation, a process of sample update is performed by local gene exchange to select superior samples based on the fitness values.
REFERENCES:
patent: 6137898 (2000-10-01), Broussard et al.
patent: 6493686 (2002-12-01), Francone et al.
Silva et al, “GENOM: Circuit-Level optimizer Based on a Modified Genetic Algorithm Kernel”, IEEE International Symposium on Circuits and Systems, May 2002.
Vaz et al, “A General-purpose Kernel Based on Genetic Algorithm for optimization of Complex Analog Circuits” IEEE International symposium on Circuit and Systems, Aug. 2001.
Chang Shaw-Ching
Chung Yu-Chi
Huang Chih-Wei
Tsai Ming-Wen
Bacon & Thomas PLLC
Davis George
Institute For Information Industry
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