|Affiliations:||Mathematical Institute of the Serbian Academy of Sciences and Arts||Title:||Genetic algorithm for designing a spread-spectrum radar polyphase code||First page:||191||Last page:||197||Conference:||5th Online World Conference on Soft Computing Methods in Industrial Applications||Issue Date:||2000||Rank:||M30||ISBN:||951-22-5205-8||URL:||https://vladofilipovic.github.io/Science/Papers/A6.2-5.pdf||Abstract:||
A genetic algorithm (GA) is proposed for solving one continuous min-max global optimization problem arising from the synthesis of radar polyphase codes. GA implementation is successfully applied to this problem and it solves instances with n up to 20. Computational results are compared to other algorithms (implicit enumeration technique, Monte Carlo method and tabu search). In some cases, GA outperforms all of them.
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