报告题目：Introduction to Evolutionary Computation
报告时间：11月17日9:30-11:30
报告地点：物联网工程学院B310
报告时间：11月18日9:30-11:30
报告地点：物联网工程学院B240
报告时间：11月19日9:30-11:30
报告地点：物联网工程学院B240
报告时间：11月20日15:00-17:00
报告地点：物联网工程学院B240
报告时间：11月21日9:30-11:30
报告地点：物联网工程学院B240
报告人员：Dr. Yi MEI（梅一博士），新西兰惠灵顿维多利亚大学
Abstract：
Evolutionary Computation (EC) has been wide used in a variety of optimisation and learning fields and has achieved great success in many real-world applications. As a subfield of Artificial Intelligence (AI), or more specifically Computational Intelligence (CI), EC is a family of algorithms for global optimisation inspired by biological evolution. This course is an introductory course of EC, including the framework and basic concepts such as representation, crossover and mutation operators, multi-objective and constrained evolutionary optimisation, large-scale evolutionary optimisation, evolutionary learning and genetic programming, and hyper-heuristics. After this course, students are expected to know the basic ideas of a wide range of EC techniques, how to select proper algorithm based on the given problem to solve, and design new algorithms for complex optimisation and machine learning tasks. Students are also expected to be able to present and communicate in an academic fashion.
Biography：
Dr Yi Mei a Lecturer at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He is leading the Evolutionary Computation for Combinatorial Optimisation (ECCO) Group. His research interests include evolutionary algorithms, genetic programming, memetic algorithms and other meta-heuristics, hyper-heuristics, with various real-world applications in scheduling and routing, such as arc routing problems, vehicle routing problems, job shop scheduling, traveling salesman problems, warehouse layout optimization, and personalised tourist trip planning. He is also interested in Evolutionary Machine Learning and Large Scale Optimisation.
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