[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 Rv$[)`&T  
A Parallel Electromagnetic Genetic-Algorithm j
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Optimization (EGO) Application for !'&n-Q  
Patch Antenna Design Sjyoc<Uo  
Frank J. Villegas, Member, IEEE, Tom Cwik, Fellow, IEEE, Yahya Rahmat-Samii, Fellow, IEEE, and $RIecv<e_  
Majid Manteghi, Member, IEEE T`\x
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Abstract—In this paper, we describe an electromagnetic genetic ktFhc3);!  
algorithm (GA) optimization (EGO) application developed for the $JJrSwR<h  
cluster supercomputing platform. A representative patch antenna vd 0ljA  
design example for commercial wireless applications is detailed, ||hb~%JK6  
which illustrates the versatility and applicability of the method.We /H(? 2IHC  
show that EGO allows us to combine the accuracy of full-wave EM +;N2p1ZBf  
analysis with the robustness of GA optimization and the speed of a LcSX*M
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parallel computing algorithm. A representative patch antenna design :(!`/#6H  
case study is presented.We illustrate the use of EGO to design m'6&9Jak  
a dual-band antenna element for wireless communication (1.9 and h]5C|M|  
2.4 GHz) applications. The resulting antenna exhibits acceptable #LL?IRH9^  
dual-band operation (i.e., better than 10 dB return loss with 5.3 Mc09ES  
and 7% operating bandwidths at 1.9 and 2.4 GHz) while maintaining s:#V(<J  
a cross-pol maximum field level at least 11 dB below t .. gX]-\  
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