| 基于进化计算的二元序列优化算法研究 |
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| 引用本文： | 李鹤,李琦,高军萍,雷明然.基于进化计算的二元序列优化算法研究[J].电子设计工程,2014(14):159-161. |
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| 作者姓名： | 李鹤 李琦 高军萍 雷明然 |
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| 作者单位： | 河北工业大学信息工程学院,天津300401 |
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| 基金项目： | 河北省自然科学基金资助项目（F2012 202 116） |
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| 摘 要： | 具有良好非周期自相关特性二元序列在通信同步、雷达等领域具有广泛的应用。通过对遗传算法、粒子群算法与量子粒子群算法三种进化算法进行对比分析,设计了具有良好非周期自相关特性的二元序列的搜索算法。研究结果表明,粒子群算法的搜索能力优于遗传算法,而量子粒子群算法具有参数少,易于控制的优点,取得了较好的优化结果。
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| 关 键 词： | 二元序列 非周期自相关 遗传算法 粒子群算法 量子粒子群算法 |
Optimization of binary sequences based on evolutionary algorithm |
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| LI He,LI Qi,GAO Jun-ping,LEI Ming-ran.Optimization of binary sequences based on evolutionary algorithm[J].Electronic Design Engineering,2014(14):159-161. |
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| Authors: | LI He LI Qi GAO Jun-ping LEI Ming-ran |
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| Institution: | (School of Information Engineering, Hebei University of Technology, Tianjin 300401, China) |
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| Abstract: | Binary sequences with good aperiodic autocorrelation features are widely used in the field of radar, communication synchronization. Genetic algorithm, particle swarm optimization and quantum particle swarm optimization algorithm are compared and analyzed in this paper. The new search algorithm of binary sequences with good aperiodic autocorrelation properties are designed based on three evolutionary algorithms. Research results show that the search ability of particle swarm algorithm is better than genetic algorithm. Quantum particle swarm optimization algorithm has less parameters, easy to control, and the better good optimization results were obtained. |
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| Keywords: | binary sequence aperiodic autocorrelation genetic algorithm particle swarm optimization algorithm quantum particle swarm algorithm |
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