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Supervised by Ministry of Industry and Information Technology of The People''s Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Array Antenna Pattern Synthesis Based on Selective Levy Flight Culture Wolf Pack Algorithm
Ting Wang1,2, Hailin Tang2, Yuebao Yu2, Bin Zheng2, Huijuan Liu3
1.School of Electronic Information Engineering, Hebei University of Technology, Tianjin 300401, China;2.People’s Liberation Army Air Force 93756, Tianjin 300000, China;3.Department of Film and Television Technology, Tianjin Broadcasting TV and Film Institute, Tianjin 300112, China
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
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