Data processing: artificial intelligence – Machine learning – Genetic algorithm and genetic programming system
Reexamination Certificate
2007-09-13
2011-11-15
Rivas, Omar Fernandez (Department: 2122)
Data processing: artificial intelligence
Machine learning
Genetic algorithm and genetic programming system
C706S012000, C706S014000
Reexamination Certificate
active
08060457
ABSTRACT:
The present invention describes methods and apparatus for electromagnetic band gap structure synthesis. An exemplary embodiment of the present invention provides a method of electromagnetic band gap structure synthesis, which includes the step of providing a set of desired characteristics for an electromagnetic band gap structure. Furthermore, the method includes generating populations of patch shape members with a genetic algorithm routine and solving one or more of patch shape members of the populations with an electrodynamics modeling technique. Thereafter, the method includes the step of converting the output of the electrodynamics modeling technique into a set of response data for one or more of the patch shape members and calculating a fitness level for one or more of the sets of response data in comparison to the set of desired characteristics for the electromagnetic band gap structure. Next, the method includes the step of determining whether the fitness level of one of the patch shape members is within a predetermined tolerance. Subsequently, if none of the patch shape members provides a fitness level within the predetermined tolerance, then the steps of generating, solving, converting, calculating, and determining are repeated.
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Engin Ege
Kim Tae Hong
Swaminathan Madhavan
Fernandez Rivas Omar
Georgia Tech Research Corporation
Schneider, Esq. Ryan A.
Troutman Sanders LLP
Ward, Esq. Trenton A.
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