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Robust handling of non‐linear constraints for GA optimization of aerodynamic shapes

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-540-39883-7_3openalex-snapshot
Evolutionary Optimization of Constrained Problems
inferredcites →https://doi.org/10.1007/978-3-642-87722-3openalex-snapshot
Optimal Shape Design for Elliptic Systems
inferredcites →https://doi.org/10.1007/978-3-662-02830-8openalex-snapshot
Genetic Algorithms + Data Structures = Evolution Programs
inferredcites →https://doi.org/10.1007/978-3-662-03315-9openalex-snapshot
Genetic Algorithms + Data Structures = Evolution Programs
inferredcites →https://doi.org/10.1007/bfb0056866openalex-snapshot
A decoder-based evolutionary algorithm for constrained parameter optimization problems
inferredcites →https://doi.org/10.1016/0021-9991(87)90031-3openalex-snapshot
Uniformly high order accurate essentially non-oscillatory schemes, III
inferredcites →https://doi.org/10.1016/0021-9991(89)90222-2openalex-snapshot
Efficient implementation of essentially non-oscillatory shock-capturing schemes, II
inferredcites →https://doi.org/10.1023/a:1026246805774openalex-snapshot
Parallel Large Scale High Accuracy Navier-Stokes Computations on Distributed Memory Clusters
inferredcites →https://doi.org/10.1093/acprof:oso/9780199546909.001.0001openalex-snapshot
Applied Shape Optimization for Fluids
inferredcites →https://doi.org/10.1109/4235.687880openalex-snapshot
Evolutionary programming techniques for constrained optimization problems
inferredcites →https://doi.org/10.1137/0724022openalex-snapshot
Uniformly High-Order Accurate Nonoscillatory Schemes. I
inferredcites →https://doi.org/10.1162/106365600568158openalex-snapshot
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
inferredcites →https://doi.org/10.1162/evco.1996.4.1.1openalex-snapshot
Evolutionary Algorithms for Constrained Parameter Optimization Problems
inferredcites →https://doi.org/10.1177/003754979406200405openalex-snapshot
Constrained Optimization Via Genetic Algorithms
inferredcites →https://doi.org/10.2514/2.1473openalex-snapshot
Reduced-Order Models for Nonlinear Unsteady Aerodynamics
inferredcites →https://doi.org/10.2514/2.2012openalex-snapshot
Accurate Multiblock Navier-Stokes Solver for Complex Aerodynamic Configurations
inferredcites →https://doi.org/10.2514/2.2432openalex-snapshot
Nongradient Methods in Multidisciplinary Design Optimization-Status and Potential
inferredcites →https://doi.org/10.2514/2.764openalex-snapshot
Airfoil and Wing Design Through Hybrid Optimization Strategies
inferredcites →https://doi.org/10.2514/3.9768openalex-snapshot
Two-dimensional transonic aerodynamic design method
inferredcites →https://doi.org/10.2514/6.1995-1450openalex-snapshot
Eigenmode analysis in unsteady aerodynamics - Reduced order models
inferredcites →https://doi.org/10.2514/6.1998-2729openalex-snapshot
Airfoil and wing design through hybrid optimization strategies
inferredcites →https://doi.org/10.2514/6.2001-2530openalex-snapshot
Studies of the continuous and discrete adjoint approaches to viscous automatic aerodynamic shape optimization
inferredcites →https://doi.org/10.2514/6.2001-2531openalex-snapshot
Navier-Stokes optimization of supersonic wings with four design objectives using evolutionary algorithm
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning

What points at this work

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

inferred← citeshttps://doi.org/10.1002/fld.70016openalex-snapshot
Airfoil Shape Optimization in Ultralow Reynolds Flows Applying a Deep Learning–Genetic Algorithm Framework on a Shear‐Stress‐Based Inverse Design Method
inferred← citeshttps://doi.org/10.1007/978-3-540-92744-0_10openalex-snapshot
Efficient Parallel Algoritm for multiconstrained of wing body configurations
inferred← citeshttps://doi.org/10.1007/978-3-642-14438-7_7openalex-snapshot
Parallel implementation of fictitious surfaces method for aerodynamic shape optimization
inferred← citeshttps://doi.org/10.1016/j.ast.2005.11.001openalex-snapshot
A new efficient technology of aerodynamic design based on CFD driven optimization
inferred← citeshttps://doi.org/10.1016/j.ast.2007.03.001openalex-snapshot
Multiconstrained aerodynamic design of business jet by CFD driven optimization tool
inferred← citeshttps://doi.org/10.1016/j.compfluid.2007.01.008openalex-snapshot
Accurate CFD driven optimization of lifting surfaces for wing-body configuration
inferred← citeshttps://doi.org/10.1017/aer.2016.40openalex-snapshot
Aerodynamic optimisation of the rear wheel fairing of the land speed record vehicle BLOODHOUND SSC
inferred← citeshttps://doi.org/10.1134/s1063784218120149openalex-snapshot
The Stability of the Optimal Aerodynamic Design of an Isolated Three-Dimensional Wing to Its Initial Form
inferred← citeshttps://doi.org/10.17223/19988621/51/10openalex-snapshot
AN OPTIMAL AERODYNAMIC DESIGN FOR THE WING OF A WIDE-BODY LONG-RANGE AIRCRAFT
inferred← citeshttps://doi.org/10.17759/mda.2025150304openalex-snapshot
Method of designing the wing airfoil of a transonic transport aircraft based on consequential mathematical modeling and parametric optimization
inferred← citeshttps://doi.org/10.2514/1.18634openalex-snapshot
Robust Drag Minimization of Aerodynamic Wings in Engineering Environment
inferred← citeshttps://doi.org/10.2514/1.19757openalex-snapshot
Computational Fluid Dynamics Driven Optimization of Blended Wing Body Aircraft
inferred← citeshttps://doi.org/10.2514/1.26746openalex-snapshot
Multipoint Aerodynamic Design of Wing-Body Configurations for Minimum Drag
inferred← citeshttps://doi.org/10.2514/1.29307openalex-snapshot
Efficient Approach for Multipoint Aerodynamic Wing Design of Business Jet Aircraft
inferred← citeshttps://doi.org/10.2514/1.35465openalex-snapshot
Aerodynamic Optimization of Essentially Three-Dimensional Shapes for Wing-Body Fairing
inferred← citeshttps://doi.org/10.2514/1.38216openalex-snapshot
Comparative Study of Three-Dimensional Wing Drag Minimization by Different Optimization Techniques
inferred← citeshttps://doi.org/10.2514/1.c031472openalex-snapshot
Two-Level Wing-Body-Fairing Optimization of a Civil Transport Aircraft
inferred← citeshttps://doi.org/10.2514/1.c033641openalex-snapshot
Automatic Optimization of Wing–Body–Under-the-Wing-Mounted-Nacelle Configurations
inferred← citeshttps://doi.org/10.2514/1.j053594openalex-snapshot
Automatic Design of Wing–Body–Nacelle Configurations for Minimum Drag
inferred← citeshttps://doi.org/10.2514/6.2006-7998openalex-snapshot
Nose Cone Design Optimization for a Hypersonic Flight Experiment Trajectory
inferred← citeshttps://doi.org/10.2514/6.2008-326openalex-snapshot
Comparative Study of 3D Wing Drag Minimization by Different Optimization Techniques
inferred← citeshttps://doi.org/10.2514/6.2014-0569openalex-snapshot
Aerodynamic Shape Optimization by Automatic Hybrid Genetic Tool OPTIMENGA_AERO
inferred← citeshttps://doi.org/10.2514/6.2015-1944openalex-snapshot
Application of OPTIMENGA_AERO to Constrained Aerodynamic Design
inferred← citeshttps://doi.org/10.2514/6.2016-1543openalex-snapshot
Application of OPTIMENGA Software to Multi-point Multi-constrained Aerodynamic Design
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