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Table 1 Comparison of proposed SGWO with other techniques for unimodal benchmark test functions

From: Application of a simplified Grey Wolf optimization technique for adaptive fuzzy PID controller design for frequency regulation of a distributed power generation system

F SCA PSO GSA GWO SGWO
Avg. Std. Dev Avg. Std. Dev Avg. Std. Dev Avg. Std. Dev Avg. Std. Dev
f1 18.0038 42.5623 0.000136 0.000202 2.53E-16 9.67E-17 6.59E-28 6.34E-5 4.07E−32 1.510E-31
f2 0.0178 0.0215 0.042144 0.045421 0.055655 0.194074 7.18E-17 0.029014 9.477E-20 1.239E-19
f3 8.0222E3 5.8196E3 70.12562 22.11924 896.5347 318.9559 3.29E-06 7.91495E-5 8.97E-8 2.407E-7
f4 34.5259 12.0554 1.086481 0.317039 7.35487 1.741452 5.61E-07 1.315088 9.78E-8 1.289E-7
f5 1.0104E5 3.7340E5 96.71832 60.11559 67.54309 62.22534 26.81258 0.8028 26.7796 0.5535
f6 18.8163 26.9175 0.000102 8.28E-05 2.5E-16 1.74E-16 0.816579 0.3437 0.9256 0.2949
f7 0.1218 0.0995 0.122854 0.044957 0.089441 0.04339 0.002213 0.10028 0.0016 0.0009