2010年10月22日，英国Surrey大学计算机学院教授金耀初应邀来计算机学院访问。10月25日上午，金耀初教授在学院学术报告厅作了题为“Recent advances in surrogate-assisted evolutionary optimization of expensive problems”的学术报告。报告由罗文坚老师主持。计算机学院部分师生参加了报告会。
报告中，金耀初教授介绍了代理模型的基本概念，并结合他本人的研究工作，介绍了代理模型在多目标优化和迭代适应值评估等问题中的应用。金耀初教授指出，一方面，代理模型通过对复杂适应值函数的估计可以减少实际评估时间，加快算法的执行速度；另一方面，代理模型可以平滑搜索空间，避免算法陷入局部最优。金耀初教授还举了赛车零部件设计等问题来说明基于代理模型的进化优化方法在实际问题中的应用。
最后的提问环节，金耀初教授对同学和老师提出的问题一一给予解答，参会者以热烈的掌声对金耀初教授的精彩报告表示衷心感谢。
报告人简介：
Yaochu Jin received the B.Sc., M.Sc., and Ph.D. degrees from Zhejiang University, Hangzhou, China the Dr.-Ing. degree from Ruhr University Bochum, Germany.
He is currently a Professor of Computational Intelligence and Head of the Nature-Inspired Computing and Engineering (NICE) Group, Department of Computing, University of Surrey, UK. Before joining Surrey, he had been a Principal Scientist and Project Leader with the Honda Research Institute Europe in Germany since 2003. His research interests include computational approaches to understanding evolution, learning and development in biology, and biological approaches to solving complex real-world problems. He has (co)edited four books and three conference proceedings, authored a monograph, and (co)authored over 100 peer-reviewed journal and conference papers. Dr. Jin is an Associate Editor of BioSystems, the IEEE Transactions on Neural Networks, the IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, and the IEEE Computational Intelligence Magazine. He was a past Associate Editor of the IEEE Transactions on Control Systems Technology, and is currently an editorial member of Soft Computing, Memetic Computing and Swarm Intelligence Research. Dr. Jin has given plenary / keynote talks on international conferences on various topics, including morphogenetic robotics, analysis and synthesis of gene regulatory networks, evolutionary aerodynamic design optimization and multi-objective machine learning. He is a Senior Member of IEEE.