Author Name | Affiliation | Postcode | Ting Wang* | School of Electronic Information Engineering, Hebei University of Technology, Tianjin 300401, China; People’s Liberation Army Air Force 93756, Tianjin 300000, China | 300131 | 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:TN820.1 |
Fund: |