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PIER PIER B PIER C PIER M PIER Letters
2008-04-09
An Improved Particle Swarm Optimization Algorithm for Pattern Synthesis of Phased Arrays
By
Wen-Tao Li,

    Dr. Wen-Tao Li

    School of Electronic Engineering

    Xidian University

    China

    Homepage

Xiao-Wei Shi,

    Professor Xiao-Wei Shi

    School of Electronics Engineering

    Xidian University

    China

    Homepage

Yong-Qiang Hei

    Dr. Yong-Qiang Hei

    Xidian University

    China

    Homepage

Progress In Electromagnetics Research, Vol. 82, 319-332, 2008
doi:10.2528/PIER08030904
Abstract
In this paper an improved particle swarm optimization algorithm (IPSO) for electromagnetic applications is proposed. In order to overcome the drawbacks of standard PSO, some improved mechanisms for velocity updating, the exceeding boundary control, global best perturbation and the simplified quadratic interpolation (SQI) operator are adopted. To show the effectiveness of the proposed algorithm, a selected set of numerical examples, concerned with linear as well as planar array, is presented. Simulation results show that the refined pinpointing search ability and the global search ability of the proposed algorithm are significantly improved when compared to the particle swarm optimization (PSO) and Genetic Algorithm (GA).
Citation
Wen-Tao Li, Xiao-Wei Shi, and Yong-Qiang Hei, "An Improved Particle Swarm Optimization Algorithm for Pattern Synthesis of Phased Arrays," Progress In Electromagnetics Research, Vol. 82, 319-332, 2008.
doi:10.2528/PIER08030904
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