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Table 2 No. of fitness evalution comparisons of PSO, DE, TLBO, OTLBO

From: A teaching learning based optimization based on orthogonal design for solving global optimization problems

No. Function   PSO DE TLBO OTLBO
f 1 Step Mean 40,000 2.4833e+4 712 520.1023
Std 0 753.6577 30.4450 21.0012
f 2 Sphere Mean 40,000 40,000 40,000 28712
Std 0 0 0 971.7807
f 3 SumSquares Mean 40,000 40,000 40,000 30124
Std 0 0 0 150.0015
f 4 Quartic Mean 40,000 40,000 40,000 40,000
Std 0 0 0 0
f 5 Zakharov Mean 40,000 40,000 40,000 2.9125e+04
Std 0 0 0 150.1291
f 6 Schwefel 1.2 Mean 40,000 40,000 40,000 31200
Std 0 0 0 101.1902
f 7 Schwefel 2.22 Mean 40,000 40,000 40,000 40,000
Std 0 0 0 0
f 8 Schwefel 2.21 Mean 40,000 40,000 40,000 40,000
Std 0 0 0 0
f 9 Bohachevsky1 an 3200 4.1111e+03 1940 1390
Std 51.6398 117.5409 79.8308 30.2312
f 10 Bohachevsky2 Mean 3.1429e+03 4.2844e+003 2.0836e+03 1290
Std 200.5150 201.8832 140.3219 48.9012
f 11 Bohachevsky3 Mean 4945 7.7822e+03 2148 1260
Std 168.1727 140.2739 51.4009 39.1290
f 12 Booth Mean 6420 1.2554e+004 3.4277e+03 2.4519e+03
Std 18.3935 803.3543 121.4487 150.5112
f 13 Rastrigin Mean 40,000 40,000 4.4533e+03 2.0912e+03
Std 0 0 544.6047 77.1529
f 14 Schaffer Mean 40,000 40,000 40,000 4.0891e+03
Std 0 0 0 149.9123
f 15 Six hump camel back Mean 800 1.5556e+03 720 430.2398
Std 99.2278 136.7738 33.0289 23.0348
f 16 Griewank Mean 40,000 40,000 2916 1.7655e+003
Std 0 0 145.0686 62.5381
f 17 Ackley Mean 40,000 40,000 40,000 40,000
Std 0 0 0 0
f 18 Multimod Mean 40,000 40,000 3488 2239
Std 0 0 30.2715 52.2319
f 19 Noncontinuous rastrigin Mean 40,000 40,000 6.1891e+03 2.2512e+03
Std 0 0 75.6887 40.8082
f 20 Weierstrass Mean 40,000 40,000 4.0178e+03 2.2231e+03
   Std 0 0 110.5696 102.1123