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A model-assisted memetic algorithm for expensive optimization problems
Yoel Tenne
Research output
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Chapter in Book/Report/Conference proceeding
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Chapter
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peer-review
7
Scopus citations
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Dive into the research topics of 'A model-assisted memetic algorithm for expensive optimization problems'. Together they form a unique fingerprint.
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Keyphrases
Expensive Optimization Problems
100%
Model-assisted
100%
Local Search
100%
Memetic Algorithm
100%
Reference Algorithms
75%
Global Search
50%
Trust-region Framework
50%
Performance Analysis
25%
Optimization Approach
25%
Mathematical Test Functions
25%
Airfoil Shape Optimization
25%
Real-world Application
25%
Statistical Analysis
25%
Model Optimization
25%
Global Model
25%
Memetic Optimization
25%
Individual Contribution
25%
Local Optimization
25%
Kriging Model
25%
Radial Basis Function Neural Network (RBFNN)
25%
Global-local Modeling
25%
Engineering
Optimisation Problem
100%
Local Search
100%
Reference Algorithm
75%
Real World Application
25%
Airfoil Shape
25%
Performance Analysis
25%
Optimization Approach
25%
Radial Basis Function
25%
Kriging Model
25%
Computer Science
Optimization Problem
100%
Memetic Algorithm
100%
Performance Analysis
50%
World Application
50%
Individual Contribution
50%
radial base function neural network
50%