AU Lecture - State of the Art Many-Objective Evolutionary Algorithms for Optimization
 
time: 2016-10-19

    On September 29, academic lecture of AU organized by the School of Automation Science and Engineering was held on the sixth floor conference room of Building 3.The topic of this lecture was the State of the Art of Many-Objective Evolutionary Algorithms for Optimization. Professor Gary G.Yen from America was invited to this issue as the major guest. The lecture was chaired by Prof. Li Yuanqing.

    Before the lecture, Professor Li Yuanqing introduced the professor Gary G. Yen to the audience. In the lecture, Professor Gary G. Yen shared the report with us from the following three aspects. The first aspect was the study of "evolutionary computation". Professor Gary G. Yen revealed the profound meaning of it: Evolutionary computation is the study of biologically motivated computational paradigms which exerts novel ideas and inspiration. And Professor Gary G. Yen explained the problem of multi-objective optimization through the common examples in our life vividly. Second, Professor Gary G. Yen described the current situation: Nowadays, the applications of population-based heuristics in solving multi-objective optimization problems have been receiving a growing attention. But almost all of the designs have some shortcomings when it comes to multi-objective optimization problem. Finally, Professor Gary G. Yen answered the questions and doubts from teachers and students about the lecture, and discussed difficulties and achievements in the current research with participants. This lecture attracted many listeners, including some doctoral students.

    Through this lecture, the students not only expanded the academic horizon, but also felt the charm of the scientific research. What’s more, this lecture inspired enthusiasm for scientific research of the students.

 

Introduction Guest interpretation
Introduction Guest interpretation
Audience Group photo
Audience Group photo