Computer Engineering and Applications ›› 2017, Vol. 53 ›› Issue (7): 64-67.DOI: 10.3778/j.issn.1002-8331.1608-0486

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Application of quantum entanglement genetic algorithm in microstrip coupler

HE Juan, LUO Guangyi, HUANG Chengqiang   

  1. School of Physics and Mechanical & Electrical Engineering, Zunyi Normal College, Zunyi, Guizhou 563002, China
  • Online:2017-04-01 Published:2017-04-01

量子纠缠遗传算法在微带耦合器中的应用

贺  娟,罗光毅,黄成强   

  1. 遵义师范学院 物理与机电工程学院,贵州 遵义 563002

Abstract:  Combining the theories of quantum entanglement, the quantum entanglement genetic algorithm is proposed. The quantum entanglement W state of multiparticle is used to study the entanglement encoding of quantum chromosome. The concrete forms of the quantum update operator, quantum mutation operator, and quantum crossover operator are given. The procedure of quantum entanglement genetic algorithm is also given. Finally, the quantum entanglement genetic algorithm is applied to the designs of microstrip couplers. The results show that the quantum entanglement genetic algorithm has a good optimized speed and the optimization results are very good, too.

Key words: quantum entanglement, genetic algorithm, microstrip coupler

摘要: 结合量子纠缠理论,提出了量子纠缠遗传算法。利用多粒子的量子纠缠W态,探讨了量子染色体的纠缠编码方式;给出了量子更新算符、量子变异算符和量子交叉算符的具体形式;给出了量子纠缠遗传算法的具体步骤。最后,将量子纠缠遗传算法应用到微带耦合器设计中,其结果表明量子纠缠遗传算法优化速度很快,能够得到很好的优化结果。

关键词: 量子纠缠, 遗传算法, 微带耦合器