1. Linear Array Pattern Synthesis Using Multi-Objective Optimization Algorithm Based on Reference Vectors
- Author
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Ying-Hao Xu, Yuexian Wang, Si-Qi Jia, Duan Zhengxiang, Ling Wang, and Jian Xie
- Subjects
Linear programming ,business.industry ,Sorting ,020206 networking & telecommunications ,02 engineering and technology ,Pattern synthesis ,Distribution (mathematics) ,Null (SQL) ,Convergence (routing) ,Genetic algorithm ,0202 electrical engineering, electronic engineering, information engineering ,Wireless ,020201 artificial intelligence & image processing ,business ,Algorithm - Abstract
In this paper, non-dominated sorting genetic algorithm based on reference vectors (NSGA-II/BRV) is proposed to minimize the Peak Sidelobe Level (PSL) and the Average Broad Null Level (ABNL) for the pattern synthesis of linear array. Here, NSGA-II/BRV mainly focuses on the convergence and diversity of the obtained solutions for multi-objective problems. In order to get a better distribution and convergence of the obtained solutions, the members close to the uniformly distributed reference vectors will be selected. Compared with MOPSO, numerical examples demonstrate that NSGA-II/BRV applied to array pattern synthesis can obtains higher performance and better distribution of the final solutions.
- Published
- 2019