[天线]A Parallel Electromagnetic Genetic-Algorithm Optimization (EGO) Application for Patch Antenna Design

2424 IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. 52, NO. 9, SEPTEMBER 2004 {tN?)~ZQ  
A Parallel Electromagnetic Genetic-Algorithm Ow@}6&1  
Optimization (EGO) Application for dpTeF`N  
Patch Antenna Design zo^34wW^  
Frank J. Villegas, Member, IEEE, Tom Cwik, Fellow, IEEE, Yahya Rahmat-Samii, Fellow, IEEE, and FVgE^_  
Majid Manteghi, Member, IEEE ?|`Ba-  
Abstract—In this paper, we describe an electromagnetic genetic WcG}9)9  
algorithm (GA) optimization (EGO) application developed for the @rV|7%u  
cluster supercomputing platform. A representative patch antenna >,&@j,?']  
design example for commercial wireless applications is detailed, <uYeev%  
which illustrates the versatility and applicability of the method.We [T<Z?  
show that EGO allows us to combine the accuracy of full-wave EM GjfPba4>  
analysis with the robustness of GA optimization and the speed of a (:spA5  
parallel computing algorithm. A representative patch antenna design aYBc)LCd  
case study is presented.We illustrate the use of EGO to design z :q9~  
a dual-band antenna element for wireless communication (1.9 and b":3J)Y6.  
2.4 GHz) applications. The resulting antenna exhibits acceptable +IM:jrT(  
dual-band operation (i.e., better than 10 dB return loss with 5.3 p
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and 7% operating bandwidths at 1.9 and 2.4 GHz) while maintaining RXbhuI  
a cross-pol maximum field level at least 11 dB below t .. eL`}j9  
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