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Meta-modelling for EA based Design Optimization
Maumita Bhattacharya
Data Science and Engineering Research Unit
Machine Vision and Digital Health (MaViDH) Research Group
Cyber Security Research Group (CSRG)
Computing, Mathematics and Engineering
Research output
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Book chapter/Published conference paper
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Dive into the research topics of 'Meta-modelling for EA based Design Optimization'. Together they form a unique fingerprint.
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Keyphrases
Evolutionary Algorithms
100%
Metamodel
100%
Real-world Problems
100%
Finite Element Analysis
100%
Design Optimization
100%
Algorithm Design
100%
Global Minimizer
50%
Complex Optimization
50%
Engineering Optimization
50%
Search Methods
50%
Computational Fluid Dynamics
50%
Engineering Design
50%
Zero Order
50%
Hybrid Evolutionary Algorithm
50%
Enhanced Dynamics
50%
Complex Design
50%
Candidate Evaluation
50%
Design Optimization Problem
50%
Engineering
Based Design Optimization
100%
Design Optimization
100%
Finite Element Analysis
100%
Optimisation Problem
50%
Computational Fluid Dynamics
50%
Candidate Solution
50%
Engineering
50%
Design Engineering
50%
Computer Science
Evolutionary Algorithms
100%
Design Optimization
100%
Real-World Problem
66%
Finite Element Analysis
66%
Optimization Problem
33%
Search Technique
33%
Large-Scale Optimization
33%
Candidate Solution
33%
Biochemistry, Genetics and Molecular Biology
Solution and Solubility
100%
Evolutionary Algorithms
100%
Liquid
33%
Dynamics
33%
Material Science
Finite Element Methods
100%
Computational Fluid Dynamics
50%