Tri-Objective Compact Log-Periodic Dipole Array Antenna Design Using MOEA/D-GPSO

• Published in: IEEE transactions on antennas and propagation Vol. 68; no. 4; pp. 2714 - 2723
• Main Authors: Li, Qian-Qian, Chu, Qing-Xin, Chang, Yu-Lin, Dong, Jian
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antenna arrays; Antenna design; Compact log-periodic dipole array (LPDA) design; Decomposition; Design defects; Digital Video Broadcasting; Dipole antennas; Dipoles; Evolutionary algorithms; Log periodic antennas; LTE800-refused; multi-objective evolutionary; Multiple objective analysis; Pareto optimization; Particle swarm optimization; particle swarm optimization (PSO); Sociology
• ISSN: 0018-926X; 1558-2221
• DOI: 10.1109/TAP.2019.2949705

Considering the defects of particle swarm optimization (PSO) and multi-objective evolutionary algorithm (EA) based on decomposition (MOEA/D), this article proposes an improved multi-objective EA MOEA/D-GPSO for compact log-periodic dipole array (LPDA) design. MOEA/D-GPSO decomposes multiple objectives into a number of single-objective optimization problems. Each particle deals with one sub-problem. All the particles are divided into a few groups, and each particle has several neighboring particles. During the search, a new solution is constructed by learning information from the random non-dominated solutions found by its own neighbors and group. ZDT instances have been introduced to verify the effectiveness of MOEA/D-GPSO with respect to other outstanding multi-objective EAs. Further, two miniaturized LPDA designs for the application of digital video broadcasting-terrestrial (DVB-T) (470-790 MHz), a tri-objective compact LPDA, and a novel LTE800-refused compact LPDA, respectively, are presented, showing their good performance over other similar designs and promising prospect of the proposed algorithm for high-dimensional and multi-functional LPDA design.