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Table 2 A subset of the test problems proposed at CEC′2005 for dimensions 10-D and 30-D

From: The q-G method

Test problems

\([\mathbf {x}_{min},\mathbf {x}_{max}]^D\)

\(f(\mathbf {x}^{*})\)

Unimodal

 \(f_1\)

Shifted sphere function

\([-100,100]^D\)

−450

 \(f_2\)

Shifted Schwefel’s problem 1.2

\([-100,100]^D\)

−450

 \(f_3\)

Shifted rotated high conditioned elliptic function

\([-100,100]^D\)

−450

 \(f_4\)

Shifted Schwefel’s problem 1.2 with noise in fitness

\([-100,100]^D\)

−450

 \(f_5\)

Schwefel’s problem 2.6 with global optimum on bounds

\([-100,100]^D\)

−310

Multimodal

 \(f_6\)

Shifted Rosenbrock’s function

\([-100,100]^D\)

390

 \(f_7\)

Shifted rotated Griewank’s function without bounds

−180

 \(f_9\)

Shifted Rastrigin’s function

\([-5,5]^D\)

−330

 \(f_{10}\)

Shifted rotated Rastrigin’s function

\([-5,5]^D\)

−330

 \(f_{11}\)

Shifted rotated Weierstrass function

\([-0.5,0.5]^D\)

90

 \(f_{12}\)

Schwefel’s problem 2.13

\([-\pi ,\pi ]^D\)

−460

 \(f_{15}\)

Hybrid composition function

\([-5,5]^D\)

120

  1. The column “\([\mathbf {x}_{min},\mathbf {x}_{max}]^D\)” shows the domain used to generate the initial points of the search, where D is the dimension. The column \(f(\mathbf {x}^*)\) shows the evaluation of the function on the global optimum \(\mathbf {x}^*\). A complete description of these problems can be found in (Suganthan et al. 2005)