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Hierarchical distributed metamodel‐assisted evolutionary algorithms in shape optimization

https://doi.org/10.1002/fld.1288
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/fld.575openalex-snapshot
Inexact information aided, low‐cost, distributed genetic algorithms for aerodynamic shape optimization
inferredcites →https://doi.org/10.1007/3-540-45356-3_86openalex-snapshot
A Hierarchical Genetic Algorithm Using Multiple Models for Optimization
inferredcites →https://doi.org/10.1007/978-1-4471-1589-2_10openalex-snapshot
Evaluation of Injection Island GA Performance on Flywheel Design Optimisation
inferredcites →https://doi.org/10.1007/978-1-4757-3799-8openalex-snapshot
The Design and Analysis of Computer Experiments
inferredcites →https://doi.org/10.1007/bf01743353openalex-snapshot
A comparison of polynomial approximations and artificial neural nets as response surfaces
inferredcites →https://doi.org/10.1007/s00500-003-0329-4openalex-snapshot
Faster convergence by means of fitness estimation
inferredcites →https://doi.org/10.1007/s005000050055openalex-snapshot
On Model-Based Evolutionary Computation
inferredcites →https://doi.org/10.1016/j.cma.2004.12.023openalex-snapshot
An adaptive neural network strategy for improving the computational performance of evolutionary structural optimization
inferredcites →https://doi.org/10.1016/j.parco.2003.12.009openalex-snapshot
A massively parallel architecture for distributed genetic algorithms
inferredcites →https://doi.org/10.1016/s0045-7825(97)00215-6openalex-snapshot
Structural optimization using evolution strategies and neural networks
inferredcites →https://doi.org/10.1016/s0045-7930(01)00086-xopenalex-snapshot
One- and two-equation turbulence models for the prediction of complex cascade flows using unstructured grids
inferredcites →https://doi.org/10.1016/s0376-0421(01)00002-1openalex-snapshot
Global design optimization for aerodynamics and rocket propulsion components
inferredcites →https://doi.org/10.1080/174159701088027771openalex-snapshot
Low-cost genetic optimization based on inexact pre-evaluations and the sensitivity analysis of design parameters
inferredcites →https://doi.org/10.1109/5.58326openalex-snapshot
Networks for approximation and learning
inferredcites →https://doi.org/10.1109/cec.1999.785531openalex-snapshot
Optimal sampling strategies for learning a fitness model
inferredcites →https://doi.org/10.1109/cec.2003.1299643openalex-snapshot
Evolution strategies assisted by Gaussian processes with improved preselection criterion
inferredcites →https://doi.org/10.1109/cec.2003.1299898openalex-snapshot
Global convergence of unconstrained and bound constrained surrogate-assisted evolutionary search in aerodynamic shape design
inferredcites →https://doi.org/10.1109/ijcnn.2003.1223941openalex-snapshot
Using support vector machines in optimization for black-box objective functions
inferredcites →https://doi.org/10.1109/tevc.2002.800884openalex-snapshot
A framework for evolutionary optimization with approximate fitness functions
inferredcites →https://doi.org/10.1109/tsmcc.2004.841917openalex-snapshot
Accelerating Evolutionary Algorithms With Gaussian Process Fitness Function Models
inferredcites →https://doi.org/10.1115/1.2841318openalex-snapshot
Turbomachinery Blade Design Using a Navier–Stokes Solver and Artificial Neural Network
inferredcites →https://doi.org/10.1115/1.2929119openalex-snapshot
Design and Testing of a Controlled Diffusion Airfoil Cascade for Industrial Axial Flow Compressor Application
inferredcites →https://doi.org/10.1115/90-gt-140openalex-snapshot
Design and Testing of a Controlled Diffusion Airfoil Cascade for Industrial Axial Flow Compressor Application
inferredcites →https://doi.org/10.1115/99-gt-181openalex-snapshot
Designing Turbomachinery Blades Using Evolutionary Methods
inferredcites →https://doi.org/10.1162/neco.1991.3.2.246openalex-snapshot
Universal Approximation Using Radial-Basis-Function Networks
inferredcites →https://doi.org/10.1214/ss/1177012413openalex-snapshot
Design and Analysis of Computer Experiments
inferredcites →https://doi.org/10.1515/9783110562545openalex-snapshot
Probability and Statistics
inferredcites →https://doi.org/10.2514/2.2533openalex-snapshot
Minimizing Computational Data Requirements for Multi-Element Airfoils Using Neural Networks
inferredcites →https://doi.org/10.2514/2.3189openalex-snapshot
Three-Dimensional Aerodynamic Shape Optimization Using Genetic and Gradient Search Algorithms
inferredcites →https://doi.org/10.2514/3.9768openalex-snapshot
Two-dimensional transonic aerodynamic design method
inferredcites →https://doi.org/10.2514/3.9789openalex-snapshot
Viscous-inviscid analysis of transonic and low Reynolds number airfoils
inferredcites →https://doi.org/10.2514/6.1993-3967openalex-snapshot
Aerodynamic configuration design using response surface methodology analysis
inferredcites →https://doi.org/10.2514/6.1995-695openalex-snapshot
Shape inverse design and optimization for three-dimensional aerodynamics
inferredcites →https://doi.org/10.2514/6.1998-4755openalex-snapshot
Comparison of response surface and kriging models for multidisciplinary design optimization
inferredcites →https://doi.org/10.2514/6.1999-111openalex-snapshot
Design optimisation using distributed evolutionary methods
inferredcites →https://doi.org/10.2514/6.1999-258openalex-snapshot
Minimizing computational data requirements for multi-element airfoils using neural networks
inferredcites →https://doi.org/10.2514/6.1999-3167openalex-snapshot
Assessment of neural net and polynomial-based techniques for aerodynamic applications

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-319-77767-2_14openalex-snapshot
Ordinary Kriging Surrogates in Aerodynamics
inferred← citeshttps://doi.org/10.1007/978-3-540-88051-6_8openalex-snapshot
Multiobjective Metamodel–Assisted Memetic Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-540-92744-0_6openalex-snapshot
Aerodynamic Shape Optimization Methods on Multiprocessor Platforms
inferred← citeshttps://doi.org/10.1007/978-3-642-10701-6_3openalex-snapshot
Multilevel Optimization Algorithms Based on Metamodel- and Fitness Inheritance-Assisted Evolutionary Algorithms
inferred← citeshttps://doi.org/10.1007/s00500-013-1191-7openalex-snapshot
Global migration strategy with moving colony for hierarchical distributed evolutionary algorithms
inferred← citeshttps://doi.org/10.1007/s10462-021-10042-yopenalex-snapshot
A survey on evolutionary computation for complex continuous optimization
inferred← citeshttps://doi.org/10.1007/s10710-009-9090-5openalex-snapshot
A grid-enabled asynchronous metamodel-assisted evolutionary algorithm for aerodynamic optimization
inferred← citeshttps://doi.org/10.1007/s11633-022-1317-4openalex-snapshot
Evolutionary Computation for Expensive Optimization: A Survey
inferred← citeshttps://doi.org/10.1007/s12008-011-0135-7openalex-snapshot
Optimization of product in dynamic design space and selection through the arc-elasticity concept
inferred← citeshttps://doi.org/10.1016/j.apm.2015.09.008openalex-snapshot
Multi-fidelity shape optimization of hydraulic turbine runner blades using a multi-objective mesh adaptive direct search algorithm
inferred← citeshttps://doi.org/10.1016/j.asoc.2009.12.024openalex-snapshot
Synergetic use of different evaluation, parameterization and search tools within a multilevel optimization platform
inferred← citeshttps://doi.org/10.1016/j.cma.2008.01.015openalex-snapshot
A multilevel approach to single- and multiobjective aerodynamic optimization
inferred← citeshttps://doi.org/10.1016/j.cma.2009.11.001openalex-snapshot
CFD-based analysis and two-level aerodynamic optimization on graphics processing units
inferred← citeshttps://doi.org/10.1016/j.compfluid.2008.12.007openalex-snapshot
The continuous direct-adjoint approach for second order sensitivities in viscous aerodynamic inverse design problems
inferred← citeshttps://doi.org/10.1016/j.renene.2010.04.029openalex-snapshot
Optimizing the shape of a surge-and-pitch wave energy collector using a genetic algorithm
inferred← citeshttps://doi.org/10.1016/j.renene.2012.09.054openalex-snapshot
Constrained optimization of the shape of a wave energy collector by genetic algorithm
inferred← citeshttps://doi.org/10.1016/j.swevo.2011.11.003openalex-snapshot
Memetic algorithms and memetic computing optimization: A literature review
inferred← citeshttps://doi.org/10.1051/proc/201448011openalex-snapshot
A comparative study between kriging and adaptive sparse tensor-product methods for multi-dimensional approximation problems in aerodynamics design
inferred← citeshttps://doi.org/10.1080/03052150902890072openalex-snapshot
Distributed evolutionary algorithms with hierarchical evaluation
inferred← citeshttps://doi.org/10.1080/0305215x.2011.570758openalex-snapshot
An asynchronous metamodel-assisted memetic algorithm for CFD-based shape optimization
inferred← citeshttps://doi.org/10.1109/cec.2007.4425008openalex-snapshot
Multilevel optimization strategies based on metamodel-assisted evolutionary algorithms, for computationally expensive problems
inferred← citeshttps://doi.org/10.1109/pct.2007.4538508openalex-snapshot
A Two-Level Method for Solving Power Generating Unit Commitment Problems
inferred← citeshttps://doi.org/10.1155/2009/615162openalex-snapshot
A New Genetic Algorithm Methodology for Design Optimization of Truss Structures: Bipopulation-Based Genetic Algorithm with Enhanced Interval Search
inferred← citeshttps://doi.org/10.1177/0954410011414120openalex-snapshot
Advanced concepts for multi-objective evolutionary optimization in aircraft industry
inferred← citeshttps://doi.org/10.70675/51461051zf115z4d36z9896z0e3d34789504openalex-snapshot
Méthode d'optimisation et d'aide à la décision en conception mécanique : application à une structure aéronautique
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