5 papers
Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization
Yukun Du, Haiyue Yu, Jiang Jiang +5
Existing Meta-Black-Box Optimization (MetaBBO) methods focus on how to search when controlling optimizers, but largely overlook where to search. We propose MetaSG-SAEA, a bi-level…
Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA
Yukun Du, Haiyue Yu, Xiaotong Xie +6
Surrogate-Assisted Evolutionary Algorithms (SAEAs) are widely used for expensive Black-Box Optimization. However, their reliance on rigid, manually designed components such as infi…
mixing in the Dyson-Schwinger approach
Xiaotong Xie, Hiroyuki Umeeda, Jinglong Zhu
In view of difficulty to reproduce observables in the mixing via the operator product expansion, we discuss the Dyson-Schwinger approach to this process. Formulated…
A Multi-output Gaussian Process Regression with Negative Transfer Mitigation for Generating Boundary Test Scenarios of Multi-UAV Systems
Hanxu Jiang, Haiyue Yu, Xiaotong Xie +3
Adaptive sampling based on Gaussian process regression (GPR) has already been applied with considerable success to generate boundary test scenarios for multi-UAV systems (MUS). One…
Leapfrogging Sycamore: Harnessing 1432 GPUs for 7 Faster Quantum Random Circuit Sampling
Xian-He Zhao, Han-Sen Zhong, Feng Pan +10
Random quantum circuit sampling serves as a benchmark to demonstrate quantum computational advantage. Recent progress in classical algorithms, especially those based on tensor netw…