June 6, 4:30pm
Location: Magnolia

Evolutionary Many-objective Optimization of Vehicle Dynamics 

This talk starts with a brief introduction to optimization problems having a large number of conflicting objectives, known as many-objective optimization problems. Then, it introduces recently proposed evolutionary algorithms that adapt the reference vectors to handle irregular and computationally expensive many-objective optimization problems. This is following by two real-world examples of many-objective optimization problems, i.e., design of a controller of hybrid electric vehicles consisting of seven objectives and optimization of vehicle dynamics handing 20 objectives. 

Yaochu Jin is an Alexander von Humboldt Professor for Artificial Intelligence endowed by the German Federal Ministry of Education and Research, with the Faculty of Technology, Bielefeld University, Germany. He is also a Distinguished Chair in Computational Intelligence, Department of Computer Science, University of Surrey, Guildford, U.K. He was a “Finland Distinguished Professor”, University of Jyväskylä, Finland, “Changjiang Distinguished Visiting Professor”, Northeastern University, China, and “Distinguished Visiting Scholar”, University of Technology Sydney, Australia. Prof. Jin is presently the President-Elect of the IEEE Computational Intelligence Society and Editor-in-Chief of Complex & Intelligent Systems. He is a Member of Academia Europaea and Fellow of IEEE.