[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 g7{:F\S  
A Parallel Electromagnetic Genetic-Algorithm izzX$O[=:  
Optimization (EGO) Application for
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Patch Antenna Design Xck`"RU<xA  
Frank J. Villegas, Member, IEEE, Tom Cwik, Fellow, IEEE, Yahya Rahmat-Samii, Fellow, IEEE, and |{JI=$  
Majid Manteghi, Member, IEEE 7'#_uAQR  
Abstract—In this paper, we describe an electromagnetic genetic |h&Z.  
algorithm (GA) optimization (EGO) application developed for the G[6i\Et  
cluster supercomputing platform. A representative patch antenna O`5hjq#  
design example for commercial wireless applications is detailed, C80< L5\  
which illustrates the versatility and applicability of the method.We vqZBDQ0  
show that EGO allows us to combine the accuracy of full-wave EM q0DRT4K  
analysis with the robustness of GA optimization and the speed of a J=&}$  
parallel computing algorithm. A representative patch antenna design
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case study is presented.We illustrate the use of EGO to design W 1u!&:O  
a dual-band antenna element for wireless communication (1.9 and 81C;D`!K  
2.4 GHz) applications. The resulting antenna exhibits acceptable ?z2!?  
dual-band operation (i.e., better than 10 dB return loss with 5.3 m'N8[ o|h  
and 7% operating bandwidths at 1.9 and 2.4 GHz) while maintaining K7@|2;e  
a cross-pol maximum field level at least 11 dB below t .. *nc3A[B#C  
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