Pelican Optimization Algorithm Combining Unscented sigma Point Mutation and Cross ReversionChinese Full TextEnglish Full Text (MT)
ZUO Fengqin;ZHANG Damin;HE Qing;BAN Yunfei;SHEN Qianwen;College of Big Data and Information Engineering,Guizhou University;
Abstract: Aiming at the problems of slow searching speed, low accuracy and easy to fall into local optimization in the optimization process of pelican optimization algorithm(POA), a pelican optimization algorithm combining unscented sigma point mutation and cross learning(MPOA) is proposed. Firstly, the random inverse learning strategy is used to generate a random inverse solution for individuals with poor positions in the population, and the unscented sigma points are introduced to mutate the inverse sol... More
Keywords:
pelican optimization algorithm; unscented sigma point mutation; cross and reverse; chaotic sequence disturbance of SPM; LSTM neural network;
- Series:
(I) Electronic Technology & Information Science
- Subject:
Automation Technology
- Classification Code:
TP18
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