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

, , , and . GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2, page 2074--2081. London, ACM Press, (7-11 July 2007)

Abstract

This paper describes the use of genetic programming automatically synthesise the design for a fixed-length 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 antenna of its type. The run of genetic programming from scratch that is, without starting from a pre-existing human-created design; did not employ any knowledge base human design techniques or principles from the field of antenna design; and did not benefit from any human intervention the run. The run produced a human-competitive result.

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