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

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Table 6 Performance comparisons OTLBO, OEA, HPSO-TVAC, CLPSO and APSO

Function		OEA	HPSO-TVAC	CLPSO	APSO	OTLBO	Significant
Sphere	Mean	2.48e-30	3.38e-41	1.89e-19	1.45e-150	0	+
Sphere	Std	1.128e-29	8.50e-41	1.49e-19	5.73e-150	0	+
Schwefel 2.22	Mean	2.068e-13	6.9e-23	1.01e-13	5.15e-84	2.1123e-221	+
Schwefel 2.22	Std	2.440e-12	6.89e-23	6.54e-14	1.44e-83	0	+
Schwefel 1.2	Mean	1.883e-09	2.89e-07	3.97e+02	1.0e-10	0	+
Schwefel 1.2	Std	3.726e-9	2.97e-07	1.42e+02	2.13e-10	0	+
Step	Mean	0	0	0	0	0	NA
Step	Std	0	0	0	0	0	NA
Rastrigin	Mean	5.430e-17	2.39	2.57e-11	5.8e-15	0	+
Rastrigin	Std	1.683e-16	3.71	6.64e-11	1.01e-14	0	+
Noncontinous Rastrigin	Mean	N	1.83	0.167	4.14e-16	0	+
Noncontinous Rastrigin	Std	N	2.65	0.379	1.45e-15	0	+
Ackley	Mean	5.336e-14	2.06e-10	2.01e-12	1.11e-14	3.1123e-15	+
Ackley	Std	2.945e-13	9.45e-10	9.22e-13	3.55e-15	1.0021e-15	+
Griewank	Mean	1.317e-02	1.07e-02	6.45e-13	1.67e-02	0	+
	Std	1.561e-02	1.14e-02	2.07e-12	2.41e-02	0