SLIDE 1
Globální
- ptimalizace
Evolutionary optimization: antenna
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mm 00 . 9 mm, 00 . 1 A mm 050 . mm, 001 . B
2 . 2 , . 2 , 6 . 1 , . 1
r
mm 5 . 1 mm, . 1 h
Globln optimalizace Evolutionary optimization: antenna 1 - - PowerPoint PPT Presentation
Globln optimalizace Evolutionary optimization: antenna 1 - - PowerPoint PPT Presentation
Globln optimalizace Evolutionary optimization: antenna 1 . 0 , 1 . 6 , 2 . 0 , 2 . 2 A 1 . 00 mm, 9 . 00 mm r h 1 . 0 mm, 1 . 5 mm B 0 . 001 mm, 0 . 050 mm
SLIDE 2
SLIDE 3
Evolutionary optimization: antenna
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initial population quality evaluation selection
SLIDE 4
Evolutionary optimization: antenna
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crossover mutation
SLIDE 5
Evolutionary optimization: antenna
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5 10 15 20 25 30 35 40 iter. 500 1000 1500 2000 2500 cost [ ]
2
SLIDE 6
Evolutionary optimization: antenna
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cost [2] A [mm] B [mm] h [mm] eps [ – ] Rin [] Xin [] 19 836 7.469 0.008 1.0 2.2 61.0 22.7 20 650 3.875 0.035 1.5 2.0 67.2 –54.9 402 5.156 0.026 1.5 1.0 183.3 –11.1 99 5.188 0.032 1.0 1.0 190.8 3.8
50 generations, 20 individuals, 90 % crossover, 10 % mutation, population decimation
SLIDE 7
Evolutionary design: filter
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SLIDE 8
Swarm Intelligence
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ROBINSON, J., RAHMAT-SAMII, Y. Particle swarm optimization in electromagnetics. IEEE Transactions on Antennas and Propagation. 2004, vol. 52, no. 2, p. 397–407.
SLIDE 9
Swarm Intelligence
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T n n n n n
h B A x
n n n n n n
r c r c w x g x p v v
2 2 1 1 n n n
t v x x
x
x
1 2
p2 g
2 2 1
p1
1
SLIDE 10
Swarm Intelligence
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x
x
2 1
x
x
2 1
x
x
2 1
absorbing reflecting invisible
SLIDE 11
Swarm Intelligence
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cost [2] A [mm] B [mm] h [mm] eps [ – ] Rin [] Xin [] 534 5.481 0.050 1.46 1.57 176.9
- 0.1
2 288 5.794 0.050 1.46 1.69 152.2 1.7 154 5.333 0.050 1.44 1.50 187.6
- 0.5
21 5.406 0.050 1.48 1.54 196.7 3.2
50 iterations, 20 agents, c1 = c2 = 1.49, w = 0.9 -> 0.4, absorbing walls