Globln optimalizace Evolutionary optimization: antenna 1 - PowerPoint PPT Presentation

Globální 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 2 raida@feec.vutbr.cz

Evolutionary optimization: antenna initial population quality evaluation selection 3 raida@feec.vutbr.cz

Evolutionary optimization: antenna crossover mutation 4 raida@feec.vutbr.cz

Evolutionary optimization: antenna cost  [ ] 2 2500 2000 1500 1000 500 0 0 5 10 15 20 25 30 35 40 iter. 5 raida@feec.vutbr.cz

Evolutionary optimization: antenna cost A B h eps R in X in [  2 ] [  ] [  ] [mm] [mm] [mm] [ – ] 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 6 raida@feec.vutbr.cz

Evolutionary design: filter 7 raida@feec.vutbr.cz

Swarm Intelligence ROBINSON, J., RAHMAT-SAMII, Y. Particle swarm optimization in electromagnetics. IEEE Transactions on Antennas and Propagation . 2004, vol. 52, no. 2, p. 397 – 407. 8 raida@feec.vutbr.cz

Swarm Intelligence   T   x A B h n n n n n          v w v c r p x c r g x n n 1 1 n n 2 2 n n    x x t v x n n n 1 2 2 g 1 p 2 p 1 1 x 2 9 raida@feec.vutbr.cz

Swarm Intelligence x x x 2 2 2 x x x 1 1 1 absorbing reflecting invisible 10 raida@feec.vutbr.cz

Swarm Intelligence cost A B h eps R in X in [  2 ] [  ] [  ] [mm] [mm] [mm] [ – ] 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 11 raida@feec.vutbr.cz