8 citations · 9 across the 6 of their papers we have counts for
4 papers · 1 filter
Benchmarking Continuous Dynamic Multi-Objective Optimization: Survey and Generalized Test Suite
Chang Shao, Qi Zhao, Nana Pu +3
The field of Dynamic Multi-Objective Optimization (DMOO) has witnessed a surge of interest from both academia and industry, as numerous time-evolving real-world applications can be…
Automated Metaheuristic Algorithm Design with Autoregressive Learning
Qi Zhao, Tengfei Liu, Bai Yan +3
Automated design of metaheuristic algorithms offers an attractive avenue to reduce human effort and gain enhanced performance beyond human intuition. Current automated methods desi…
Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization
Qiqi Duan, Chang Shao, Guochen Zhou +3
In the post-Moore era, main performance gains of black-box optimizers are increasingly depending on parallelism, especially for large-scale optimization (LSO). Here we propose to p…
AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm Design
Qi Zhao, Bai Yan, Taiwei Hu +4
Metaheuristics are prominent gradient-free optimizers for solving hard problems that do not meet the rigorous mathematical assumptions of analytical solvers. The canonical manual o…