TY - GEN
T1 - Pigeon-inspired optimization approach to information granulation-based fuzzy RBF neural networks for image fusion
AU - Wang, Zizhuo
AU - Sui, Fangyuan
AU - Jia, Jiaqi
AU - Duan, Haibin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/20
Y1 - 2017/1/20
N2 - Nowadays, bio-mimetic method comes more and more popular as being applied in various fields including image fusion. A number of population-based algorithms are proposed to solve this kind of problem for example the ant colony optimization and the artificial bee colony optimization. In this paper, an original approach with bionic solutions named Pigeon-Inspired Optimization (PIO) is proposed, which possesses high efficiency especially for discrete optimization problem. It is combined with the fuzzy radial basis function neural network to optimize the problem of image fusion. A population-based searching process is provided to the optimization model, which is inspired by the movements of pigeons that can accurately guide a group of pigeons to their final destination. A series of experiments are set up in this paper to verify the feasibility and effectiveness of the method.
AB - Nowadays, bio-mimetic method comes more and more popular as being applied in various fields including image fusion. A number of population-based algorithms are proposed to solve this kind of problem for example the ant colony optimization and the artificial bee colony optimization. In this paper, an original approach with bionic solutions named Pigeon-Inspired Optimization (PIO) is proposed, which possesses high efficiency especially for discrete optimization problem. It is combined with the fuzzy radial basis function neural network to optimize the problem of image fusion. A population-based searching process is provided to the optimization model, which is inspired by the movements of pigeons that can accurately guide a group of pigeons to their final destination. A series of experiments are set up in this paper to verify the feasibility and effectiveness of the method.
UR - https://www.scopus.com/pages/publications/85015180850
U2 - 10.1109/CGNCC.2016.7829084
DO - 10.1109/CGNCC.2016.7829084
M3 - 会议稿件
AN - SCOPUS:85015180850
T3 - CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference
SP - 1928
EP - 1933
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 -