| Related citation: | Ting Wang,Hailin Tang,Yuebao Yu,Bin Zheng,Huijuan Liu.Array Antenna Pattern Synthesis Based on Selective Levy Flight Culture Wolf Pack Algorithm[J].Journal of Harbin Institute Of Technology(New Series),2020,27(5):68-80.DOI:10.11916/j.issn.1005-9113.18142. |
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| Author Name | Affiliation | | Ting Wang | School of Electronic Information Engineering, Hebei University of Technology, Tianjin 300401, China
People’s Liberation Army Air Force 93756, Tianjin 300000, China | | Hailin Tang | People’s Liberation Army Air Force 93756, Tianjin 300000, China | | Yuebao Yu | People’s Liberation Army Air Force 93756, Tianjin 300000, China | | Bin Zheng | People’s Liberation Army Air Force 93756, Tianjin 300000, China | | Huijuan Liu | Department of Film and Television Technology, Tianjin Broadcasting TV and Film Institute, Tianjin 300112, China |
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| Abstract: |
| Due to the shortcomings such as the premature convergence and the bad local optimal searching capability in traditional intelligence methods for pattern synthesis, a new type of wolf pack algorithm named Levy-Cultural Wolf Pack Algorithm (LCWPA) was designed on the basis of the Cultural Wolf Pack Algorithm (CWPA), which obeys the selective Levy flight. Because of the good overall management ability provided by the cultural algorithm in optimization process and the characteristics of excellent population diversity brought by Levy flight, the search efficiency of the new algorithm was greatly improved. When the algorithm was applied in the pattern synthesis of array antenna, the simulation results showed its high performance with multi-null and low side-lobe restrictions. In addition, the algorithm was superior to the Quantum Particle Swarm Optimization (QPSO), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA) in optimization accuracy and operation speed, and is of very good generalization. |
| Key words: array antenna pattern synthesis Levy flight wolf pack algorithm |
| DOI：10.11916/j.issn.1005-9113.18142 |
| Clc Number:TP302.7 |
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| Descriptions in Chinese: |
| 基于选择性莱维飞行文化狼群算法的阵列天线方向图综合 王停*1，2, 唐海林2, 于跃宝2,郑斌2, 刘慧娟3 (1.河北工业大学 电子信息工程学院，天津 300401； 2.中国人民解放军93756部队，天津 300000； 3. 天津广播电视电影学院 影视技术系，天津 300112） 摘要： 针对传统智能方法在方向图综合中易于早熟和局部寻优能力不足等缺陷，在文化狼群算法(CWPA)的基础上，设计一种基于选择性莱维飞行的新的狼群算法-莱维文化狼群算法（LCWPA）。新算法利用文化算法在寻优过程中的良好整体管理能力和莱维飞行能够有效提高种群多样性的特点，明显提高了搜索效率。然后将其应用于阵列天线方向图综合。仿真结果表明，在多零点和低旁瓣约束情况下新算法均可取得良好的优化效果，而且该算法相对于量子粒子群算法（QPSO），粒子群算法（PSO）和遗传算法（GA）来说，在方向图综合中速度和精度更有优势，有很好的推广价值。 关键词： 阵列天线；方向图综合；莱维飞行；狼群优化算法 |
