Automated synthesis of a fixed-length loaded symmetric dipole antenna whose gain exceeds that of a commercial antenna and matches the theoretical maximum

Authors:
John R. Koza;Sameer H. Al-Sakran;Lee W. Jones;Greg Manassero
Affiliations:
Stanford University, Stanford, CA;Genetic Programming: Inc., Mountain View, CA;Genetic Programming: Inc., Mountain View, CA;Electrical Engineering Consultant, San Jose, CA
Venue:
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Year:
2007

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Abstract

This paper describes the use of genetic programming to automatically synthesize the design for a fixed-length loaded symmetric dipole antenna whose gain at a specific wavelength exceeds that of a commercially-marketed human-designed antenna and that reaches the theoretical maximum value for an antenna of its type. The run of genetic programming started "from scratch" that is, without starting from a pre-existing human-created design; did not employ any knowledge base of human design techniques or principles from the field of antenna design; and did not benefit from any human intervention during the run. The run produced a human-competitive result.