Planar array antenna synthesis using genetic algorithms with a penalty function

This paper presents the synthesis of a planar array antenna with rectangular cells using genetic algorithms (GAs). GAs are used to calculate the complex excitation coefficients for each element of the array in order to obtain a radiation pattern specified by many constraints. The results show good agreement between the desired and calculated radiation pattern when we use the GA with a penalty function.

[1]  D. Marcano,et al.  Synthesis of multiple beam linear antenna arrays using genetic algorithms , 1995, IEEE Antennas and Propagation Society International Symposium. 1995 Digest.

[2]  J.M. Johnson,et al.  Genetic algorithm optimization and its application to antenna design , 1994, Proceedings of IEEE Antennas and Propagation Society International Symposium and URSI National Radio Science Meeting.

[3]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[4]  E. Moreno,et al.  Application of genetic algorithms and simulated annealing technique in optimizing the aperture distributions of antenna arrays , 1996, IEEE Antennas and Propagation Society International Symposium. 1996 Digest.

[5]  D. Marcano,et al.  Synthesis of linear array using Schelkunoff's method and genetic algorithms , 1996, IEEE Antennas and Propagation Society International Symposium. 1996 Digest.