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Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

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Cover of 'Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Multi-objective Evolutionary Algorithms in Real-World Applications: Some Recent Results and Current Challenges
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    Chapter 2 Hybrid Optimization Algorithms and Hybrid Response Surfaces
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    Chapter 3 A Genetic Algorithm for a Sensor Device Location Problem
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    Chapter 4 The Role of Artificial Neural Networks in Evolutionary Optimisation: A Review
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    Chapter 5 Reliability-Based Design Optimization with the Generalized Inverse Distribution Function
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    Chapter 6 On the Choice of Surrogates for Multilevel Aircraft Perfomance Models
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    Chapter 7 Multi-objective Design Optimization Using High-Order Statistics for CFD Applications
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    Chapter 8 Extension of the One-Shot Method for Optimal Control with Unsteady PDEs
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    Chapter 9 Adaptive Aerodynamic Design Optimization for Navier-Stokes Using Shape Derivatives with Discontinuous Galerkin Methods
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    Chapter 10 Optimal Flow Control and Topology Optimization Using the Continuous Adjoint Method in Unsteady Flows
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    Chapter 11 Design Optimization of the Primary Pump of a Nuclear Reactor
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    Chapter 12 Direct 3D Aerodynamic Optimization of Turbine Blades with GPU-Accelerated CFD
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    Chapter 13 Evaluation of Surrogate Modelling Methods for Turbo-Machinery Component Design Optimization
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    Chapter 14 Robust Aerodynamic Design Optimization of Horizontal Axis Wind Turbine Rotors
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    Chapter 15 Horizontal Axis Hydroturbine Shroud Airfoil Optimization
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    Chapter 16 Parametric Blending and FE-Optimisation of a Compressor Blisk Test Case
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    Chapter 17 Modular Automated Aerodynamic Compressor Design Process
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    Chapter 18 Design-Optimization of a Compressor Blading on a GPU Cluster
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    Chapter 19 Immune and Swarm Optimization of Structures
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    Chapter 20 Investigation of Three Genotypes for Mixed Variable Evolutionary Optimization
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    Chapter 21 A Study of Nash-Evolutionary Algorithms for Reconstruction Inverse Problems in Structural Engineering
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    Chapter 22 A Comparative Study on Design Optimization of Polygonal and Bézier Curve-Shaped Thin Noise Barriers Using Dual BEM Formulation
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    Chapter 23 A Discrete Adjoint Approach for Trailing-Edge Noise Minimization Using Porous Material
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    Chapter 24 Conceptual Design of Single-Stage Launch Vehicle with Hybrid Rocket Engine Using Design Informatics
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    Chapter 25 Robust Optimization of a Helicopter Rotor Airfoil Using Multi-fidelity Approach
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    Chapter 26 Computational Results for Flight Test Points Distribution in the Flight Envelope
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    Chapter 27 Optimal Separation Control on the Flap of a 2D High-Lift Configuration
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    Chapter 28 New Challenges and Opportunities in Reliability and Risk Based Optimization
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    Chapter 29 Bi-objective Discrete PSO for Service-Oriented VRPTW
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    Chapter 30 An Approach for the Evaluation of Risk Impact of Changes Addressing Uncertainties in a Surveillance Requirement Optimization Context
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    Chapter 31 Scalable Deployment of Efficient Transportation Optimization for SMEs and Public Sector
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    Chapter 32 Estimation of the Electricity Demand of La Palma Island (Spain)
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    Chapter 33 Optimization of the Dimensionless Model of an Electrostatic Microswitch Based on AMGA Algorithm
  35. Altmetric Badge
    Chapter 34 Generation of New Detection Codes for GPS Satellites Using NSGA-II
Overall attention for this book and its chapters
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Title
Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
Published by
Computational methods in applied sciences, January 2015
DOI 10.1007/978-3-319-11541-2
ISBNs
978-3-31-911540-5, 978-3-31-911541-2
Authors

David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou, Gabriel Winter

Editors

Greiner, David, Galván, Blas, Périaux, Jacques, Gauger, Nicolas, Giannakoglou, Kyriakos, Winter, Gabriel

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Iran, Islamic Republic of 1 2%
Unknown 42 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 42%
Student > Master 10 22%
Researcher 4 9%
Unspecified 3 7%
Student > Doctoral Student 3 7%
Other 6 13%
Readers by discipline Count As %
Engineering 18 40%
Computer Science 14 31%
Unspecified 6 13%
Decision Sciences 2 4%
Energy 2 4%
Other 3 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 December 2015.
All research outputs
#15,339,713
of 22,816,807 outputs
Outputs from Computational methods in applied sciences
#4
of 8 outputs
Outputs of similar age
#208,992
of 353,112 outputs
Outputs of similar age from Computational methods in applied sciences
#1
of 2 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8 research outputs from this source. They receive a mean Attention Score of 1.2. This one scored the same or higher as 4 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 353,112 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them