课程号：ME206007

课程名：进化优化：理论、方法与实践

英文课程名：Evolutionary Optimization: Theory, Methodologies, and MatLab Exercises

开课单位：机电工程学院

授课教师：Paolo Rocca

责任教师：李鹏   胡乃岗

学分/学时：1学分/16学时

教师简介：Paolo Rocca (IEEE Senior Member) received the MS degree in Telecommunications Engineering from the University of Trento in 2005 (summa cum laude) and the PhD Degree in Information and Communication Technologies from the same University in 2008. He is currently Associate Professor at the Department of Information Engineering and Computer Science (University of Trento) and a member of the ELEDIA Research Center. In April 2017, Prof. Rocca received the National Scientific Qualification for the position of Full Professor.  Prof. Rocca is the author/co-author of over 330 peer-reviewed papers on international journals and conferences. He has been a visiting Ph.D. student at the Pennsylvania State University (U.S.A.), at the University Mediterranea of Reggio Calabria (Italy), and a visiting researcher at the Laboratoire des Signaux et Systèmes (L2S@ Supèlec, France) in 2012 and 2013. Moreover, he has been an Invited Professor at the University of Paris Sud (France) in 2015 and at the University of Rennes 1 (France) in 2017. Prof. Rocca has been awarded from the IEEE Geoscience and Remote Sensing Society and the Italy Section with the best PhD thesis award IEEE-GRS Central Italy Chapter. His main interests are in the framework of artificial intelligence (optimization and machine learning) techniques as applied to electromagnetics, antenna array synthesis and design, and electromagnetic inverse scattering. He served as an Associate Editor of the IEEE Antennas and Wireless Propagation Letters in the period 2011-2016.  Paolo Rocca（IEEE高级成员）于2005年在特伦托大学获得电信工程硕士学位，2008年在同一所大学获得信息和通信技术博士学位。他目前是信息工程和计算机科学系（特伦托大学）的副教授，也是Eledia研究中心的成员。2017年4月，Rocca教授获得国家科学资格，获得正式教授职位。                Rocca教授以作者和合作者身份发表了330多篇国际期刊和会议论文。他曾于2012年和2013年在宾夕法尼亚州立大学（美国）、雷吉奥卡拉布里亚大学（意大利）做过访问博士生，并在Signaux et Sys实验室（法国）做过访问研究员。此外，他曾于2015年在巴黎大学（法国）和2017年在法国雷恩大学（法国）担任受邀教授。Rocca教授获得了IEEE地球科学和遥感学会和意大利分部颁发的最佳博士论文奖（IEEE-GRS意大利中部分会）。他的主要研究领域在于将人工智能（优化和机器学习）技术应用于电磁学、天线阵合成和设计以及电磁逆散射的框架。他曾在2011-2016年间担任IEEE AWPL期刊的副主编。

课程简介：Optimization strategies based on Evolutionary Algorithms (EAs) have been effectively applied to several problems in engineering and sciences….基于进化算法（EAS）的优化策略已被有效地应用于工程和科学中的若干问题。…详细介绍附后

先修课程：计算方法Matlab