Optimization of concrete hollow brick using hybrid genetic algorithm combining with artificial neural networks
- 30 November 2010
- journal article
- Published by Elsevier BV in International Journal of Heat and Mass Transfer
- Vol. 53 (23-24), 5509-5518
- https://doi.org/10.1016/j.ijheatmasstransfer.2010.07.006
Abstract
No abstract availableKeywords
Funding Information
- China University of Mining and Technology
This publication has 16 references indexed in Scilit:
- Numerical simulation of concrete hollow bricks by the finite volume methodInternational Journal of Heat and Mass Transfer, 2009
- Review of utilization of genetic algorithms in heat transfer problemsInternational Journal of Heat and Mass Transfer, 2009
- Optimization of the configuration of 290×140×90 hollow clay bricks with 3-D numerical simulation by finite volume methodEnergy and Buildings, 2008
- Non-linear thermal optimization and design improvement of a new internal light concrete multi-holed brick walls by FEMApplied Thermal Engineering, 2008
- Nonlinear thermal optimization of external light concrete multi-holed brick walls by the finite element methodInternational Journal of Heat and Mass Transfer, 2008
- Numerical thermal optimization of the configuration of multi-holed clay bricks used for constructing building walls by the finite volume methodInternational Journal of Heat and Mass Transfer, 2008
- Analysis and optimization of the heat-insulating light concrete hollow brick walls design by the finite element methodApplied Thermal Engineering, 2006
- State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation ExperimentsINFORMS Journal on Computing, 2005
- Bayesian Prediction of Deterministic Functions, with Applications to the Design and Analysis of Computer ExperimentsJournal of the American Statistical Association, 1991
- Designs for Computer ExperimentsTechnometrics, 1989