3 papers
cs.NE2023
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning
Huan Zhang, Jinliang Ding, Liang Feng +2
Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable computatio…
cs.NE2023
A Scalable Test Problem Generator for Sequential Transfer Optimization
Xiaoming Xue, Cuie Yang, Liang Feng +3
Sequential transfer optimization (STO), which aims to improve the optimization performance on a task of interest by exploiting the knowledge captured from several previously-solved…
cs.NE2023
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach
Haokai Hong, Min Jiang, Qiuzhen Lin +1
We define very large-scale multiobjective optimization problems as optimizing multiple objectives (VLSMOPs) with more than 100,000 decision variables. These problems hold substanti…