Work

Multi-Objective Hybrid Optimization Algorithm for Design a Printed MIMO Antenna With n78–5G NR Frequency Band Applications

Year: 2023

Type: article

Abstract: This study introduces a novel multi-objective optimization algorithm integrating Customized Mutated Particle Swarm Optimization (CM-PSO) and an innovative modified Genetic Algorithm (GA) using an unexplored merged chaotic map. The hybrid algorithm converges to desired results faster than CM-PSO and modified GA without trapping in local minima. Validation is conducted by designing a single-element and simple-structure dipole antenna so that its optimizedS11is better than -30 dB at the resonance frequency and covers the 3.3 to 3.8 GHz frequency band withS11S11result and its Impedance Bandwidth (IBW). The input parameters of the algorithm are the dimensions of the proposed antenna’s elements, which significantly influence its performance.

Source: IEEE Access

DOI: 10.1109/access.2023.3292307

Authors: Vahid Hosseini Hasbestan, Yousef Farhang, Kambiz Majidzadeh, Changiz Ghobadi

Institutions: Islamic Azad University of Urmia, Islamic Azad University, Khoy Branch, Urmia University

Language: English

Topic: Antenna Design and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,950

OpenAlex ID: W4383112778