An Efficient JAYA Algorithm with Lévy Flight for Non-linear Channel Equalization
作者：
Highlights：
• Lévy flight and greedy selection scheme has been incorporated into JAYA algorithm.
• The index of Lévy distribution is made adaptive over the course of iteration.
• Tested on the benchmark functions and three non-linear communication channels.
• Lévy flight improves the exploration capability of JAYA eliminating diversity loss
• Statistical validity of obtained results is tested using Wilcoxon rank-sum test.
摘要
•Lévy flight and greedy selection scheme has been incorporated into JAYA algorithm.•The index of Lévy distribution is made adaptive over the course of iteration.•Tested on the benchmark functions and three non-linear communication channels.•Lévy flight improves the exploration capability of JAYA eliminating diversity loss•Statistical validity of obtained results is tested using Wilcoxon rank-sum test.
论文关键词：Non-linear channel equalization,Functional link artificial neural network,Back-propagation algorithm,JAYA algorithm.
论文评审过程：Received 3 August 2018, Revised 21 August 2019, Accepted 19 September 2019, Available online 10 November 2019, Version of Record 23 December 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.112970
