An ongoing aim of research in multiobjective Bayesian optimization is to extend its applicability to a large number of objectives. While coping with a limited budget of evaluations, recovering the set of optimal compromise solutions generally requires numerous observations and is less interpretable since...
(GPs) are widely used in surrogate-assisted evolutionary optimization of expensive problems mainly due to the ability to provide a confidence level of their outputs, making it possible to adopt principled surrogate management methods, such as the acquisition function used in the Bayesian optimization....
The groundwater monitoring test case is a computationally intensive many-objective optimization—assimilation application in which parallel scalability is evaluated for compute core counts ranging from 64 to a maximum of 8192. Our many-objective visual analytics framework clarifies how to assess and ...
107 2024 Improved Evolutionary Multitasking Optimization Algorithm With Similarity Evaluation of Search Behavior IEEE Transactions on … 3 106 2024 A Sparsity Knowledge Transfer-Based Evolutionary Algorithm for Large-Scale Multitasking Multi-Objective Optimization IEEE Transactions on … 0 105 2024 Competitive...
An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization 2020, Information Sciences Citation Excerpt : This weakness becomes more obvious when EAs are employed for solving time-consuming multi-objective problems where the evaluation of the objectives involves expensive physi...
“变量重要性”度量的标签已被广泛用于描述推理(van der Laan,2006; D´ıaz 等人,2015; Williamson 等人,2017)或预测的方法。虽然这两个目标高度相关,但我们主要关注预测模型在多大程度上依赖协变量来实现准确性。我们使用诸如“模型依赖”而不是“重要性”之类的术语来阐明这一背景。
The latter holds for both multi-objective decision-making strategies, coupled with an increase in the variation of the convergence time. On the other hand, an increase in communication bandwidth does not have as strong a positive influence on the convergence speed of both discrete strategies, ...
This prospective study demonstrates that the percentage of predicted forced vital capacity (pFVC) at admission provides an objective physiological assessment for identifying patients needing increased hospital care.This prospective study demonstrates that the percentage of predicted forced vital capacity (pFVC...
40 Here, we use a genetic algorithm and multi-objective optimization to search this hypothesis space for interatomic potentials that are simple (and thus more likely to be generalizable49), fast, and accurate. Additional details of our approach are provided in the Methods section. Results ...
Dnapk receptor is an enzyme that in humans is encoded by the gene designated as PRKDC or XRCC7.