Results 51 to 60 of about 22,296,575 (338)

Enhancing Cooperative Coevolution for Large Scale Optimization by Adaptively Constructing Surrogate Models

, 2018
It has been shown that cooperative coevolution (CC) can effectively deal with large scale optimization problems (LSOPs) through a divide-and-conquer strategy.
Chen, An, Liang, Yongsheng, Pang, Bei, Ren, Zhigang   +3 more
core   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

A Joint Optimization Algorithm Based on the Optimal Shape Parameter–Gaussian Radial Basis Function Surrogate Model and Its Application

Mathematics, 2023
We propose a joint optimization algorithm that combines the optimal shape parameter–Gaussian radial basis function (G-RBF) surrogate model with global and local optimization techniques to improve accuracy and reduce costs.
Jian Sun, Ling Wang, Dianxuan Gong
doaj   +1 more source

Kernel Methods for Surrogate Modeling

, 2019
This chapter deals with kernel methods as a special class of techniques for surrogate modeling. Kernel methods have proven to be efficient in machine learning, pattern recognition and signal analysis due to their flexibility, excellent experimental performance and elegant functional analytic background.
Santin G., Haasdonk B.
openaire   +2 more sources

Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing

, 2017
Computation of document image quality metrics often depends upon the availability of a ground truth image corresponding to the document. This limits the applicability of quality metrics in applications such as hyperparameter optimization of image ...
Hast, Anders, Singh, Prashant, Vats, Ekta   +2 more
core   +1 more source

Optimization of a piezoelectric fan using fluid-structure interaction simulation [PDF]

, 2010
In this paper, the heat transfer from a single heat fin to the air flow in the wake of a piezoelectric fan (piezofan) is optimised. Both the heat fin and the piezofan are positioned in a channel, which has a significant influence on the flow field.
Annerel, Sebastiaan, Debrouwere, Brecht, Degroote, Joris, Vierendeels, Jan   +3 more
core   +2 more sources

Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li, Raquel Revuelta Iniesta, Alan R. Barker, Dimitris Vlachopoulos, Tomáš Sláma, Christina Schindera, Fabiën N. Belle   +6 more
wiley   +1 more source

Behavioral Study of Bayesian Neural Networks Under a Typical Surrogate Model-Assisted Evolutionary Search Framework

IEEE Access
The machine learning method for surrogate modeling is a keystone in surrogate model-assisted evolutionary algorithms (SAEAs). The current arguably most widely used surrogate modeling methods in SAEAs are Gaussian process and radial basis function.
Yushi Liu, Muhammad Ali Imran, Masood Ur-Rehman, Bo Liu   +3 more
doaj   +1 more source

Application of Surrogate Optimization Routine with Clustering Technique for Optimal Design of an Induction Motor

Energies, 2021
This paper proposes a new surrogate optimization routine for optimal design of a direct on line (DOL) squirrel cage induction motor. The geometry of the motor is optimized to maximize its electromagnetic efficiency while respecting the constraints, such ...
Aswin Balasubramanian, Floran Martin, Md Masum Billah, Osaruyi Osemwinyen, Anouar Belahcen   +4 more
doaj   +1 more source

Design Optimization Utilizing Dynamic Substructuring and Artificial Intelligence Techniques [PDF]

, 2008
In mechanical and structural systems, resonance may cause large strains and stresses which can lead to the failure of the system. Since it is often not possible to change the frequency content of the external load excitation, the phenomenon can only be ...
Akcay Perdahcioglu, D., Boer, A. de, Ellenbroek, M.H.M., Hoogt, P.J.M. van der   +3 more
core   +1 more source