CITO
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Transcript of CITO
Computational Intelligence Technique & Electromagnetic Optimization Lab v.1.0
(CITEO Lab v.1.0)
Automation & OptimizationOptimization & Parameterization
Process Prediction
Electron-OpticsOptimization
Function Optimization
Genetic Algorithm (GA)
Particle Swing (PS)
Neural Network (NW)
Local Search (LS)
Evolution Strategy (ES)
Computational intelligence inEngineering Optimization-Design
CITOOptimization Toolkit
Parameter Extraction for
Microwave Component s& Optical Devices
Synthesis Design forEM Metamaterials & Devices
Computational Intelligence Technique & Electromagnetic Optimization Lab v.1.0 (CITEO Lab v.1.0)
UWB Monopole Antenna
Simple patch Tree-shaped patch
Search space: 3.1-10.6 GHzfi= -20 dB if fi <-20 dBfi= S11 dB if fi >-20 dB
Search space: 3.1-10.6 GHzfi= -50 dB if fi <-50 dBfi= S11 dB if fi >-50 dB
Search space: 0-10.6 GHzfi= -20 dB if fi <-20 dBfi= S11 dB if fi >-20 dB
N
f
Fitness
N
i
3-Patch UWB Antenna
Planar Filter Design
MAGRAM Design
Ek
H E
kH
kkE
HE
H
TE mode TM mode
Generation
S1
1
10 20 30 40 50-30
-29
-28
-27
-26
-25
-24
-23
-22
-21
-20
MAGRAM
Ek
H
fi= S11 dB
N
f
Fitness
N
i TM mode
dB30fiifdB30
dB30fiifN
f
Fitness
N
i
Ek
H
N
f
Fitness
N
i TE mode
Generation
Fitn
ess
25 50 75 100-23
-22
-21
-20
-19
-18
-17
-16
-15
-14
-13
-12
-11
-10
MAGRAM
Ek
HE
k
H
+TE + TM mode
V1
V2
10 20 30 40 50-20
-19.5
-19
-18.5
-18
-17.5
-17
-16.5
-16
-15.5
-15
Ek
H Ek
H
N
f
Fitness
N
i
Optimal shapes for different polarization directions
Ek
HE
k
H
Ek
HEk
H +
TE modeTM mode TE+TM mode
Next to do
Isotropic MAGRAM Miniaturized MAGRAMMulti-object Optimization Problem
Nano-MAGRAM
00
NN-GA for optimal performance prediction of ZnO antireflection coating
Optical device Designs
Plan to do
• NN-FCGA for EM absorber design & LP filter• GA-NN for ZnO antireflection coating• Multi-objective GA
Future works
• Development of Evolution Strategies• Framework design• CITO for optical devices of integral optic system