A dynamic evolutionary algorithm and its application in automated antenna design

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A dynamic evolutionary algorithm and its application in automated antenna design

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ACM/SIGEVO Summit on Genetic and Evolutionary Computation archive
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation table of contents

Shanghai, China

POSTER SESSION: Poster sessions table of contents

Pages 929-932

Year of Publication: 2009

ISBN:978-1-60558-326-6

Authors

Banping Yu	School of Computer Science, China University of Geosciences, Wuhan, China
Sanyou Zeng	School of Computer Science, China University of Geosciences, Wuhan, China
Song Gao	School of Computer Science, China University of Geosciences, Wuhan, China
Zu Yan	School of Computer Science, China University of Geosciences, wuhan, China
Yulong Shi	School of Computer Science, China University of Geosciences, wuhan, China
Xianqiang Yang	School of Computer Science, Research Center for Space, , China University of Geosciences Science& Technology, wuhan, China
Bo Xiao	School of Computer Science, China University of Geosciences, wuhan, China

Sponsors

SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery

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ACM New York, NY, USA

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ABSTRACT

An X-band antenna has been designed for NASA's Space Technology 5 (ST5) spacecraft by using genetic algorithm. It had been deployed on schedule on March 22-June 30 2006 and became the first evolved hardware in space. It is known that antenna design is a complicated optimization problem with many constraints. In this paper, we take a different way to solve antenna problems: A dynamic evolutionary algorithm (DEA) is designed for solving general constrained optimization problems and well tested by a kit of benchmark constrained problems firstly. Then the algorithm is used to solve antenna design problems.Simulation results are quite promising. Our evolved antennas are quite competitive with NASA's. The algorithm will be applied in real antenna design in our future work.

REFERENCES

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	1	Jason D. Lohn , Derek S. Linden , Gregory S. Hornby , William F. Kraus , Adaan Rodriguez-Arroyo, Evolutionary Design of an X-Band Antenna for NASA's Space Technology 5 Mission, Proceedings of the 2003 NASA/DoD Conference on Evolvable Hardware, p.155, July 09-11, 2003
	2	J. J. Liang, T. P. Runarsson, E. Mezura-Montes, M. Clerc, P. N. Suganthan, C. A. C. Coello, and K. Deb, "Problem definitions and evaluation criteria for the CEC2006 special session on constrained real-parameter optimization," 2006. {Online}. Available
	3	Sanyou Zeng, Hui Shi, Hui Li, Guang Chen, Lixin Ding, Lishan Kang, A Lower-dimensional-Search Evolutionary Algorithm and Its Application in Constrained Optimization Problems, In Proceedings of the 2007 Congress on Evolutionary Computatoin (CEC'07). 2007, Singapore, pp.1255--1260
	4	Tetsuyuki Takahama and Setsuko Sakai, Constrained Optimization by the µ-Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites, In Proceedings of the 2006 Congress on Evolutionary Computatoin (CEC'06). 2006,Canada, pp308--315.