报告主题：Optimal way to optimize using optimized randomness and its connection to fractional calculus
报告人：YangQuan Chen 教授 （University of California, Merced）
报告时间：2019年7月29日（周一）10:00
报告地点：校本部G508
邀请人：李常品
报告摘要： In this talk, first I will show 1) in swarm based search (such as PSO – particle swarm optimization) using randomness with different heavytailed distributions, the search performance can be further optimized beyond Levy; 2) the connection of heavytailedness and fractional calculus. It is hoped that this talk will open new investigations in new optimal ways to optimize using optimized randomness with the help of fractional calculus in this bigdata and machine learning era.
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