TY - GEN
T1 - Gaussian Entropy Weight Pigeon-Inspired Optimization for rectangular waveguide design
AU - Hu, Yuwei
AU - Duan, Haibin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/20
Y1 - 2017/1/20
N2 - In this paper, a hybrid model of Entropy Weight Method (EWM) and Gaussian Pigeon-Inspired Optimization (GPIO) is proposed to solve the problem of rectangular waveguide design. There are four parameters involved in the design: length, width, relative permittivity and electrical conductivity. Our goal is to optimize the combination of these parameters so that the waveguide achieves the best overall performance. EWM is employed in the building of the performance judging function. An improved Pigeon-Inspired Optimization adopting Gaussian searching strategy is utilized for minimizing the function's value. Comparative experiments with basic PIO and Particle Swarm Optimization (PSO) are conducted, and the results verify that better design can be obtained with our proposed Gaussian Entropy Weight Pigeon-Inspired Optimization (GEWPIO) algorithm because of its utilization of information theory and non-linear searching strategy.
AB - In this paper, a hybrid model of Entropy Weight Method (EWM) and Gaussian Pigeon-Inspired Optimization (GPIO) is proposed to solve the problem of rectangular waveguide design. There are four parameters involved in the design: length, width, relative permittivity and electrical conductivity. Our goal is to optimize the combination of these parameters so that the waveguide achieves the best overall performance. EWM is employed in the building of the performance judging function. An improved Pigeon-Inspired Optimization adopting Gaussian searching strategy is utilized for minimizing the function's value. Comparative experiments with basic PIO and Particle Swarm Optimization (PSO) are conducted, and the results verify that better design can be obtained with our proposed Gaussian Entropy Weight Pigeon-Inspired Optimization (GEWPIO) algorithm because of its utilization of information theory and non-linear searching strategy.
KW - Entropy Weight Method (EWM)
KW - Gaussian Pigeon-Inspired Optimization (GPIO)
KW - Rectangular waveguide design
UR - https://www.scopus.com/pages/publications/85015199904
U2 - 10.1109/CGNCC.2016.7829088
DO - 10.1109/CGNCC.2016.7829088
M3 - 会议稿件
AN - SCOPUS:85015199904
T3 - CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference
SP - 1951
EP - 1956
BT - CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016
Y2 - 12 August 2016 through 14 August 2016
ER -