Genetic algorithm techniques and applications

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

Reexamination Certificate

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Reexamination Certificate

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06882989

ABSTRACT:
Disclosed herein are genetic algorithm techniques and applications. The techniques and applications disclosed include a method of generating offspring having feasible gene traits selected from parent chromosomes, a method of assigning tasks to resources, and a method of determining feasible gene traits for a chromosome, for example, to mutate a gene to a feasible trait.

REFERENCES:
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patent: 5390282 (1995-02-01), Koza et al.
patent: 5848403 (1998-12-01), Gabriner et al.
patent: 6490566 (2002-12-01), Schmidt
Darrell Whitley, Timothy Starkweather, and D'Ann Fuquay, Schdeuling Problems and Traveling Salesmen: The Genetic Edge Recombination Operator, Proceedings of the Third International Conference on Genetic Algorithms, Morgan Kaufman, 1989.*
T. Starkweather, S. McDaniel, K. Mathias, D. Whitley and C. Whitley, A Comparison of Genetic Sequencing Operators, Proceeding of the Fourth International Conference on Genetic Algorithms, Morgan Kaufman, 1991, pp. 69-76.*
Gilbert Syswerda and Jeff Palmucci, The Application of Genetic Algorithms to Resource Scheduling, Proceeding of the Fourth International Conference on Genetic Algorithms, Morgan Kaufman, 1991.*
Ioannis T. Christou, Armand Zakarian, Jun-Min Liu, Helen Carter, A Two-Phase Genetic Algorithm for Parge-Scale Bidline-Generation Problems at Delta Air Lines, Finalist Paper Daniel H. Wagner Award for Excellence in Operations Research Practise, 1998.*
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Whitley, Starkweather, and Fuquay. Scheduling Problems and Traveling Salesmen: The Genetic Edge Recombination Operator, Proceedings of the Third International Conference on Genetic Algorithms, Morgan Kaufmann, 1989.
Starkweather, McDaniel, Mathias, Whitley, and Whitley, A Comparison of Genetic Sequencing Operators, Proceedings of the Fourth International Conference on Genetic Algorithms, Morgan Kaufmann, 1991, pp 69-76.
Larry Eshelman, The CHC Adaptive Search Algorithm. How to Have Safe Search When Engaging in Nontraditional Genetic Recombination, Foundations of Genetic Algorithms, Morgan Kaufmann 1991, pp 265-283.
Christou, Zakarian, Liu, and Carter, A Two Phase Genetic Algorithm for Solving Large Scale BidLine Generation Problems, Finalist Paper for the Daniel H. Wagner Award for Excellence in Operations Research Practise, Sep. 1998. (at www.cs.wisc.edu/˜christou/publications.html).
Syswerda and Palmucci, The Application of Genetic Algorithms to Resource Scheduling, Proceedings of the Fourth International Conference on Genetic Algorithms, Morgan Kaufmann, 1991.

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