Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems

Table of Contents

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   Book Overview
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   Chapter 1 Gradient Projection, Constraints and Surface Regularization Methods in Adjoint Shape Optimization
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   Chapter 2 Adjoint Shape Optimisation Using Model Boundary Representation
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   Chapter 3 CAD and Adjoint Based Multipoint Optimization of an Axial Turbine Profile
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   Chapter 4 A Comparative Study of Two Different CAD-Based Mesh Deformation Methods for Structural Shape Optimization
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   Chapter 5 Node-Based Adjoint Surface Optimization of U-Bend Duct for Pressure Loss Reduction
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   Chapter 6 On the Properties of Solutions of the 2D Adjoint Euler Equations
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   Chapter 7 Finite Transformation Rigid Motion Mesh Morpher
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   Chapter 8 The Unsteady Continuous Adjoint Method Assisted by the Proper Generalized Decomposition Method
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    Chapter 9 A Two–Step Mesh Adaptation Tool Based on RBF with Application to Turbomachinery Optimization Loops
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    Chapter 10 Adjoint-Based Aerodynamic Optimisation of Wing Shape Using Non-uniform Rational B-Splines
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    Chapter 11 A Comparative Evaluation of Surrogate Models for Transonic Wing Shape Optimization
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    Chapter 12 Study of the Influence of the Initial a Priori Training Dataset Size in the Efficiency and Convergence of Surrogate-Based Evolutionary Optimization
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    Chapter 13 Garteur AD/AG-52: Surrogate-Based Global Optimization Methods in Preliminary Aerodynamic Design
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    Chapter 14 A Response Surface Based Strategy for Accelerated Compressor Map Computation
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    Chapter 15 Surrogate-Based Shape Optimization of the ERCOFTAC Centrifugal Pump Impeller
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    Chapter 16 CFD Based Design Optimization of a Cabinet Nitrogen Generator
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    Chapter 17 Delaunay-Based Global Optimization in Nonconvex Domains Defined by Hidden Constraints
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    Chapter 18 Optimized Vehicle Dynamics Virtual Sensing Using Metaheuristic Optimization and Unscented Kalman Filter
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    Chapter 19 Optimization of Ascent Assembly Design Based on a Combinatorial Problem Representation
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    Chapter 20 On the Optimization of 2D Path Network Layouts in Engineering Designs via Evolutionary Computation Techniques
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    Chapter 21 Taking Advantage of 3D Printing So as to Simultaneously Reduce Weight and Mechanical Bonding Stress
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    Chapter 22 Interactive Optimization of Path Planning for a Robot Enabled by Virtual Commissioning
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    Chapter 23 Box-Type Boom Design Using Surrogate Modeling: Introducing an Industrial Optimization Benchmark
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    Chapter 24 Knowledge Objects Enable Mass-Individualization
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    Chapter 25 Free-Form Optimization of A Shell Structure with Curvature Constraint
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    Chapter 26 Application of Game Theory and Evolutionary Algorithm to the Regional Turboprop Aircraft Wing Optimization
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    Chapter 27 Industrial Application of Genetic Algorithms to Cost Reduction of a Wind Turbine Equipped with a Tuned Mass Damper
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    Chapter 28 Aerodynamic Shape Optimization by Considering Geometrical Imperfections Using Polynomial Chaos Expansion and Evolutionary Algorithms
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    Chapter 29 Multiobjective Optimisation of Aircraft Trajectories Under Wind Uncertainty Using GPU Parallelism and Genetic Algorithms
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    Chapter 30 Multi-objective Optimization of A-Class Catamaran Foils Adopting a Geometric Parameterization Based on RBF Mesh Morphing
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    Chapter 31 Development of an Efficient Multifidelity Non-intrusive Uncertainty Quantification Method
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    Chapter 32 Evolving Neural Networks to Optimize Material Usage in Blow Molded Containers
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    Chapter 33 Coupled Subsystem Optimization for Preliminary Core Engine Design
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    Chapter 34 Progresses in Fluid-Structure Interaction and Structural Optimization Numerical Tools Within the EU CS RIBES Project