Pareto Genetic Algorithm Based Optimization of Log-Periodic Monopole Arrays Mounted On Realistic Platforms
作者:
S.E. Fisher,
D.S. Weile,
E. Michielssen,
W. Woody,
期刊:
Journal of Electromagnetic Waves and Applications
(Taylor Available online 1999)
卷期:
Volume 13,
issue 5
页码: 571-598
ISSN:0920-5071
年代: 1999
DOI:10.1163/156939399X01032
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A three-objective Pareto genetic algorithm is applied to the design of practical impedance-modulated feeds for log-periodic monopole arrays (LPMAs) mounted on arbitrary structures. Traditional design techniques do not permit the synthesis of feed structures for arrays on complex grounding structures. The multimodality of the search space of the feed-network design parameters precludes the use of standard gradient-search methods. The use of Pareto genetic algorithms allows for the study of tradeoffs between competing performance goals, and permits the generation of a database of feed designs that represent optimal performance tradeoffs from which one can select a posteriori. Numerical results are presented for the design of an LPMA mounted on a realistic wing.
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