讲座题目： Brain Storm Optimization Algorithms: An Introduction
讲座嘉宾：史玉回，南方科技大学
讲座时间： 2021年11月5日（周五），上午10:00-11:00
讲座地点：腾讯会议 981 714 416
内容摘要：
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.
讲座嘉宾简介：
史玉回，南方科技大学计算机科学与工程系讲席教授，电气电子工程师学会会士（IEEE Fellow）。目前担任《International Journal of Swarm Intelligence Research》主编和《IEEE Transactions on Evolutionary Computation》副主编。曾与粒子群优化算法创始人James Kenney 和Russell Eberhart合作撰写《群体智能》，与Russell Eberhart合作撰写《计算智能：从概念到实现》等英文专著。
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物流科学与工程研究院
