Open AccessSmall Evolution Antenna Design Method Based on Dynamic Hill Climbing Algorithm and Orthogonal Experiment
Author(s) -
Hui Shi,
Junjie Li,
Zhiming Xie
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1395/1/012009
Subject(s) - computer science , bandwidth (computing) , antenna (radio) , hill climbing , constraint (computer aided design) , algorithm , evolutionary algorithm , electronic engineering , engineering , telecommunications , artificial intelligence , mechanical engineering
Small-scale evolution antennas have the advantages of high gain, wide bandwidth and small size, and have broad application prospects in the aerospace field. Aiming at the complex high-dimensional and dynamic problems of aerial antenna modeling, a dynamic hill-climbing algorithm based on orthogonal design is designed and implemented to simulate and optimize the single-span antenna in high-frequency operation mode. In the optimization problem, this paper defines a new individual comparison mechanism, which can reflect the number of violations of constraints and the degree of violation of each constraint, making the comparison of individuals more reasonable. The antenna simulation results demonstrate the effectiveness and feasibility of using dynamic evolutionary algorithms for antenna design.