求翻译:surrogate-assisted是什么意思?待解决 悬赏分:1 - 离问题结束还有 surrogate-assisted问题补充:匿名 2013-05-23 12:21:38 null 匿名 2013-05-23 12:23:18 代用的协助 匿名 2013-05-23 12:24:58 由代理人协助 匿名 2013-05-23 12:26:38 代孕辅助 匿名 2013-05-23 12:28:18 ...
Surrogate-assisted optimizationParallel computingDue to the need for robust uncertainty quantification, Bayesian neural learning has gained attention in the era of deep learning and big data. Markov Chain Monte-Carlo (MCMC) methods typically implement Bayesian inference which faces several challenges given...
Surrogate-assisted global optimization (SGO) [16] is an effective way to solve CEBO problems, having gained continuously increasing attention in recent years. The key merit of SGO is to organize the obtained expensive samples to predict the next-step solutions, and the optimal area can be identi...
various types of problems, the latter is applied to three examples (using two analytical functions and a finite element model). Kriging and support vector machines regression together with their own active learning schemes are considered in the surrogate model block. In terms of reliability analysis,...
et al. Deep Learning-Based Surrogate-Assisted Intelligent Optimization Framework for Reservoir Production Schemes. Nat Resour Res (2025). https://doi.org/10.1007/s11053-025-10458-1 Download citation Received22 July 2024 Accepted11 January 2025 Published24 January 2025 DOIhttps://doi.org/10.1007/s1...
(s) or the ranking relationships of the candidate solutions. Surrogate-assisted approaches have been widely used across the field of evolutionary optimisation, and successful applications include aerodynamic design optimisation, structural design optimisation, data-driven optimisation, chip design, drug ...
摘要: In this paper, we present a surrogate-assisted multi-objective genetic algorithm to mine a small number of linguistically interpretable fuzzy rules for high-dimensional classification task in the...关键词: Classification rule Fuzzy set Genetic algorithm Multi-objective genetic algorithm Surrogate-...
A surrogate-assisted multi-objective evolutionary algorithm with dimension-reduction for production optimizationMulti-objective production optimization... M Zhao,K Zhang,G Chen,... - 《Journal of Petroleum Science & Engineering》 被引量: 0发表: 0年 Surrogate Assisted Evolutionary Algorithm for Multiobje...
The proposed method is validated through a case study of a mixed-use building in Hong Kong. Results indicate that using the surrogate-assisted coordinated optimal design method can reduce the total building energy consumption by up to 63.34 % and pedestrian thermal discomfort degree by up to 1.88...
Surrogate-assisted evolutionary algorithms (SAEAs) have been widely used to solve computationally expensive optimization problems. The extreme learning machine-based DirectRanker (ELDR) is a single-layer feed-forward neural network surrogate model designed for SAEAs. ELDR estimates the superiority of tw...