線上學術講座👩🏽‍🎓： Brain Storm Optimization Algorithms: An Introduction

講座題目： Brain Storm Optimization Algorithms: An Introduction

講座嘉賓：史玉回，南方科技大學

講座時間： 2021年11月5日（周五），上午10:00-11:00

講座地點：騰訊會議 981 714 416

內容摘要：

       Swarm intelligence algorithms have been around for decades. They are a collection of population-based optimization algorithms, and have been designed and researched to solve problems which are very difficult, if not impossible, for traditional optimization approaches such as hill-climbing approaches to solve. In general, swarm intelligence algorithms are nature-inspired and/or bio-inspired, especially are inspired by objects with low level intelligence. Through local/global interactions, they can achieve higher level intelligence than any individual has. The brain storm optimization (BSO) algorithm, which is a new population-based swarm intelligence algorithm, was developed with the inspiration from the brainstorming process with which human being together can solve difficult problems, which any single person can not solve by himself/herself. In this talk, the brainstorming process and the BSO algorithm will be introduced first; then new advances on BSO algorithms will be presented; finally, the BSO algorithms will be looked at from the developmental learning perspective and possible future directions.

講座嘉賓簡介：

史玉回，南方科技大學計算機科學與工程系講席教授📆🗒，電氣電子工程師學會會士（IEEE Fellow）🩰。目前擔任《International Journal of Swarm Intelligence Research》主編和《IEEE Transactions on Evolutionary Computation》副主編😐。曾與粒子群優化算法創始人James Kenney 和Russell Eberhart合作撰寫《群體智能》𓀆，與Russell Eberhart合作撰寫《計算智能🙋🏿‍♀️：從概念到實現》等英文專著。

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