title: Multi-modulus algorithm based on global artificial fish swarm intelligent optimization of DNA encoding sequences.
abstract: Aimed to address the defects of the large mean square error (MSE), and the slow convergence speed in equalizing the multi-modulus signals of the constant modulus algorithm (CMA), a multi-modulus algorithm (MMA) based on global artificial fish swarm (GAFS) intelligent optimization of DNA encoding sequences (GAFS-DNA-MMA) was proposed. To improve the convergence rate and reduce the MSE, this proposed algorithm adopted an encoding method based on DNA nucleotide chains to provide a possible solution to the problem. Furthermore, the GAFS algorithm, with its fast convergence and global search ability, was used to find the best sequence. The real and imaginary parts of the initial optimal weight vector of MMA were obtained through DNA coding of the best sequence. The simulation results show that the proposed algorithm has a faster convergence speed and smaller MSE in comparison with the CMA, the MMA, and the AFS-DNA-MMA.
authors.affiliation: Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, China.|Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing, China.
authors.forename: Y C
authors.initials: YC
authors.lastname: Guo
authors.affiliation: Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, China.
authors.forename: H
authors.initials: H
authors.lastname: Wang
authors.affiliation: Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, China.
authors.forename: H P
authors.initials: HP
authors.lastname: Wu
authors.affiliation: Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, China.
authors.forename: M Q
authors.initials: MQ
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D004247:DNA / Q000235:genetics*; D008962:Models, Theoretical
chemical_list: D004247:DNA