This five-day course will introduce basics of optimization, classical methods, and recent evolutionary optimization methods systematically and with hands-on exercises. After building the foundation on single-objective optimization methods, multi-criterion search and optimization basics and methods will be introduced with a focus on evolutionary methods, known as EMO methods.

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Guest Lecture: Kalyanmoy Deb - Department of Electrical and Computer Engineering in Michigan State University, USA Research Interests: Computational intelligence, Articial intelligence, Machine learning, Evolutionary computation, Multi-criterion optimization and decision analysis, Data Analytics Teaching Interests: Evolutionary computation, Multi-Criterion optimization and decision making, AI and Computational intelligence, Machine learning, Programming and Numerical Methods, Fundamental undergraduate courses in computing and engineering disciplines

In presenza

Presentazione orale

P.D.2-2 - Settembre