时 间：2016年6月28日 上午9点30分

地 点：图书馆报告厅

主 题： Nature-Inspired Optimization Algorithms and Applications

报告人简介：

Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. Now he is Reader at Middlesex University London, Adjunct Professor at Reykjavik University (Iceland) and Guest Professor at Harbin

Engineering University. He is also an elected Bye-Fellow of Cambridge University, the IEEE CIS Chair for the Task Force on Business Intelligence and Knowledge Management and Director of International Consortium for Optimization and Modelling in Science and Industry (iCOMSI).

报告内容简介：

Nature-inspired optimization algorithms have become effective tools for optimization concerning engineering designs, data mining and computational intelligence. Nature provides a rich source of inspiration for ingenious problem-solving. Algorithms based on characteristics of bats, cuckoos, fireflies, birds, ants and bees have demonstrated their flexibility and effectiveness. However, there exist many challenging issues in this area. This talk focuses on the recent developments and highlights some key issues in swarm intelligence and nature-inspired metaheuristics for optimization.