Speaker: Professor Yaochu Jin
Title: Knowledge Transfer in Bayesian Evolutionary Optimization of Multi-objective Problems with Heterogeneous Objectives
Time: 15:30-16:30, August 27, 2022 (Saturday)
Website: https://meeting.tencent.com/dm/3TDQ0GJ0sJEL （Tencent meeting）
(meeting number:963 453 406 ）
Abstract:
For many real-world multi-objective optimization problems, the computational cost for evaluating different objectives varies from objective to objective. Such problems are known as heterogeneously expensive multi-objective optimization problems. To enhance the performance in optimizing heterogeneous multi-objective problems, this talk presents three algorithms for transferring knowledge from the cheaper objective to the more expensive objective by means of parameter based, instance based and domain-adaptation based transfer learning. Finally, we introduce an approach for many-objective heterogeneous expensive problems by alleviating search bias. Empirical results confirm the effectiveness of the proposed algorithms.
Personal Introduction:
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 Surrey Distinguished Chair, Professor in Computational Intelligence, Department of Computer Science, University of Surrey, Guildford, U.K. He was a “Finland Distinguished Professor” of University of Jyväskylä, Finland, “Changjiang Distinguished Visiting Professor”, Northeastern University, China, and “Distinguished Visiting Scholar”, University of Technology Sydney, Australia. His main research interests include evolutionary optimization and learning, trustworthy machine learning and optimization, and evolutionary developmental AI. Prof Jin is presently the Editor-in-Chief of Complex & Intelligent Systems. He was the Editor-in-Chief of the IEEE Transactions on Cognitive and Developmental Systems, an IEEE Distinguished Lecturer in 2013-2015 and 2017-2019, the Vice President for Technical Activities of the IEEE Computational Intelligence Society (2015-2016). He is the recipient of the 2018 and 2021 IEEE Transactions on Evolutionary Computation Outstanding Paper Award, and the 2015, 2017, and 2020 IEEE Computational Intelligence Magazine Outstanding Paper Award. He was named by the Web of Science as “a Highly Cited Researcher” consecutively from 2019 to 2021. He is a Member of Academia Europaea and Fellow of IEEE.
[Editor: Xiaohan Liu]