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The double-crossover genetic algorithm and its application in radiation pattern synthesis of aperiodic antenna arrays |
Li Dongfeng; Gong Zhonglin |
Dept. of Electronics Peking University Beijing 100871 China |
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Abstract The double-crossover Genetic Algorithm (GA) extending the basic idea of conventional Genetic Algorithms(GAs) is presented. The double-crossover GA with the double-crossover reproduction operation and parametric chromosomes gets rid of the dependence of the convergence of conventional GAs on the initial population, avoids troublesome encoding and decoding, and is more practical and effective than conventional GAs. To illustrate effectiveness and practicality, the double-crossover GA is applied to the scanning radiation pattern synthesis of aperiodic circular arrays. The successful application shows that the double-crossover GA can be used as a general tool for radiation pattern synthesis of antenna arrays.
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Received: 18 September 2001
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