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Meta Model Based EA for Complex 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
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peer-review
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Keyphrases
Algorithm Framework
14%
Approximate Model
14%
Attractive Alternatives
14%
Benchmark Functions
14%
Complex Optimization
100%
Computation Time
14%
Controlled Use
14%
EA Model
14%
Evolutionary Algorithms
42%
Evolutionary Optimization
14%
Fitness Evaluation
28%
Fitness Function
14%
Function Approximation
14%
Function Evaluation
42%
Global Minimizer
14%
Hybrid EA
42%
Learning Approaches
14%
Least Squares Support Vector Regression (LSSVR)
14%
Metamodel
100%
Model Dynamics
14%
Model-based Learning
14%
Modeling Tools
14%
Multimodal Problems
14%
Multiple Models
14%
Noisy Fitness
14%
Noisy Function
14%
Order of Magnitude
14%
Population-based
14%
Problem Domain
14%
Real-time Optimization
14%
Stochastic Search
14%
Support Vector Machine
14%
Training Samples
14%
Uncertain Scenarios
14%
Underlying Assumptions
14%
Uniform Model
14%
Computer Science
Actual Function
40%
Approximation (Algorithm)
20%
Benchmark Function
20%
Computation Time
20%
Evolutionary Algorithms
60%
evolutionary optimization
20%
Fitness Function
80%
Function Evaluation
100%
Learning Approach
20%
Optimization Problem
20%
Problem Domain
20%
Search Technique
20%
Support Vector Machine
40%
Training Sample
20%
Underlying Assumption
20%