Abstract
Jason Lohn and his workmates in NASA Ames Research Center have evolved an X-band antenna for NASA’s Space Technology 5 (ST5) mission which is the first evolved hardware in space. However their approach did not put too much attention on the efficiency of the evolutionary algorithm. Owing to the flaw we employ GT Algorithm to tackle constraints and balance multi-objective via normalization which makes evolution more efficient. Moreover we adopt a kind of linear real-values code to describe the structure of antenna so that it is easier to carry out genetic operations and control the size of the antenna. We have evolved a wire antenna successfully via this approach and all the targets have been meted.
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Fan, Y., Liang, Q., Cai, Z., Li, H. (2008). Evolutionary Antenna Design via Modified Normalized GT Algorithm. In: Kang, L., Cai, Z., Yan, X., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2008. Lecture Notes in Computer Science, vol 5370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92137-0_14
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DOI: https://doi.org/10.1007/978-3-540-92137-0_14
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