Subset selection is an important research topic in the evolutionary multi-objective optimization (EMO) field. For example, in environmental selection of an EMO algorithm, the next population is selected from the merged population of the current and offspring populations. Subset selection is performed in each generation of an EMO algorithm. Subset selection can be also used as a post-processing procedure after the termination of the execution of an EMO algorithm. In this case, an external archive is maintained to store non-dominated solutions among the examined solutions. Subset selection is performed to select a pre-specified number of solutions from the external archive as the final output.
It is important to develop efficient subset selection methods so that a subset of solutions can be selected from the candidate solution set within reasonable and acceptable runtime. Especially when subset selection is used as a post-processing procedure, it is also important to clearly interpret the reason why the subset is selected. That is, to clearly explain the criteria of the subset selection methods. This workshop is intended to bring together researchers working in subset selection and related areas to discuss all aspects of subset selection in EMO.
July 18, 2022 4:30 PM - 6:30 PM at SM1-B
Welcome message
4:30 PM - 4:35 PM
Speaker: Hiroyuki Sato (On-site Chair)
Introduction to the workshop
4:35 PM - 4:40 PM
Speaker: Ke Shang
Invited talk: Selection strategies for benchmarking, search and decision-making multi/many-objective optimization
4:40 PM - 5:10 PM
Speaker: Hemant Singh
Invited talk: Pareto Front Estimation for Subset Selection
5:10 PM - 5:40 PM
Speaker: Tomoaki Takagi
Paper presentation: Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization
5:40 PM - 6:10 PM
Speaker: Ke Shang
Discussion Panel
6:10 PM - 6:25 PM
Speakers: All participants
Closing Remarks
6:25 PM - 6:30 PM
Speaker: Hiroyuki Sato
Ke Shang, Lie Meng Pang, and Hisao Ishibuchi
Southern University of Science and Technology (SUSTech)