Recent advances in Bayesian optimization

X Wang, Y **, S Schmitt, M Olhofer - ACM Computing Surveys, 2023 - dl.acm.org
Bayesian optimization has emerged at the forefront of expensive black-box optimization due
to its data efficiency. Recent years have witnessed a proliferation of studies on the …

Co-design of an unmanned cable shovel for structural and control integrated optimization: A highly heterogeneous constrained multi-objective optimization algorithm

Y Pang, Z Hu, S Zhang, G Guo, X Song, Z Kan - Applied Energy, 2024 - Elsevier
Unmanned cable shovel is an intelligence-based large machine used for excavating in open-
pit coal mines, with significant implications for the security and development of energy …

MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets

P Liao, XL Wang, Y **, WL Du - European Conference on Computer …, 2024 - Springer
Deploying models across diverse devices demands tradeoffs among multiple objectives due
to different resource constraints. Arguably, due to the small model trap problem in multi …

Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm

N Zheng, H Wang, J Liu - Swarm and Evolutionary Computation, 2024 - Elsevier
Many real multi-objective optimization problems with 20-50 decision variables often have
only a small number of function evaluations available, because of their heavy time/money …

Towards solving expensive optimization problems with heterogeneous constraint costs

K Rahi, H Singh, T Ray - Proceedings of the Genetic and Evolutionary …, 2024 - dl.acm.org
Expensive constrained optimization problems (ECOPs) are prevalent in practical
applications. Surrogate-assisted constrained evolutionary algorithms (SACEAs) are …

A Multi-Task Optimization-based Heterogeneous Expensive Multi-Objective Evolutionary Algorithm

C He, Y Zhang - 2024 3rd International Conference on Artificial …, 2024 - ieeexplore.ieee.org
Multi-objective optimization problems with different evaluation costs for performance metrics
or objective values are commonly seen in the real world. Such problems are known as …