Novel Mutation DNA Genetic Artificial Fish Swarm DNA Sequence Based Frequency Domain Weighted Multi-modulus Algorithm

Authors：郭业才; 王惠; 吴华鹏

Source：科学技术与工程, 2016, (3).

DOI：10.3969/j.issn.1671-1815.2016.03.012

• frequency domain weighted multi-modulus algorithm
• artificial fish swarm
• algorithm novel mutation DNA genetic algorithm
• DNA sequence

In order to improve the equalization performance of multi-modulus signals , a novel mutation DNA ge-netic artificial fish swarm DNA sequence based frequency domain weighted multi-modulus algorithm ( nmDNAG-AFS-DNA-FWMMA) is proposed .The proposed algorithm can find the optimal DNA sequence through the novel mutation genetic artificial fish swarm algorithm with fast convergence and global search ability .The initial optimal weight vector of the frequency domain weighted MMA ( FWMMA) can obtained through decoding of the optimiza-tion DNA sequence to improve convergence speed and reduce mean square error .The simulation results show that the proposed algorithm has faster convergence speed and smaller mean square error .