The Scientific World Journal / 2013 / Article / Tab 3 / Research Article
Optimized Hyper Beamforming of Linear Antenna Arrays Using Collective Animal Behaviour Table 3 SLL, FNBW, optimal current excitation weights, and optimal inter-element spacing for hyper beam pattern of linear array with hyper beam exponent (
), obtained by RGA, PSO, DE, and CAB for different sets of arrays.
Algorithms Optimized current excitation weights and
Optimal inter-element spacing in
SLL of hyper beam with optimization (dB) FNBW of hyper beam with optimization (deg) RGA 0.2844 0.5240 0.8813 0.9032 0.4231 0.8425 0.4564 0.6402 0.3414 0.3853 0.5441 −100.6 41.04
10 PSO 0.2398 0.6414 0.9123 0.9722 0.4312 0.9502 0.4327 0.6582 0.3571 0.3982 0.5717 −117.2 39.60 DE 0.1029 0.3802 0.6258 0.9394 0.7907 1.0000 0.5211 0.5538 0.2118 0.2156 0.8470 −151.9 34.56 CAB 0.2359 0.3120 0.4490 0.4396 0.9983 0.7164 0.9233 0.7213 0.3960 0.0846 0.8594 −182.8 32.4 RGA 0.3631 0.2555 0.4905 0.0043 0.6114 0.5778 0.8634 0.5042 0.5782 0.5913 0.7502 0.5545 0.2878 0.3431 0.5878 −96.21 25.92
14 PSO 0.2319 0.1857 0.6027 0.5089 0.7906 0.4163 0.6275 0.7212 0.9097 0.2907 0.2525 0.2755 0.5506 0.3615 0.6036 −113 25.20 DE 0.2297 0.3701 0.3080 0.2229 0.6599 0.9495 0.6941 0.8597 0.4157 0.7559 0.7305 0.2389 0.3759 0.0982 0.7949 −125.8 23.04 CAB 0.0510 0.2113 0.3799 0.8250 0.9015 0.8437 0.9090 0.9410 0.8698 0.5521 0.3112 0.4662 0.3493 0.1664 0.9245 −166 20.16 RGA 0.2505 0.3933 0.4881 0.4829 0.3027 0.6697 0.3436 0.9551 0.5974 0.8952 0.5252 0.9773 0.4056 0.6612 1.0000 0.1577 0.8144 0.3284 0 0.5558 0.5361 −83.69 19.44
20 PSO 0.1675 0.2453 0.2113 0.5168 0.6011 0.5661 0.7962 0.2148 0.8279 0.2476 0.9888 0.3429 0.8064 0.1836 0.2281 0.1792 0.4317 0.6579 0.2244 0.3467 0.5353 −88.71 18.72 DE 0.1567 0.1345 0.5561 0.4817 0.9529 0.7651 0.9420 0.7511 0.6736 0.5927 0.9889 0.8862 0.4313 0.4025 0.2891 0.3316 0.4286 0.4649 0.4306 0.3195 0.5852 −101.9 18 CAB 0.1411 0.4085 0.4124 0.4649 0.4193 0.4515 0.5774 0.7569 0.9998 0.9478 0.9593 0.8373 0.9730 0.9216 0.8734 0.6891 0.4313 0.2586 0.0089 0.0987 0.8283 −142.1 15.84