The Scientific World Journal

Research Article

Human Behavior-Based Particle Swarm Optimization

Table 1

Functions’ names, dimensions, ranges, and global optimum values of benchmark functions used in the experiments.
Number Function name Dimension ( )
Sphere model −100, 100 0
Schwefel’s problem 2.22 −10, 10 0
Schwefel’s problem 1.2 −100, 100 0
Schwefel’s problem 2.21 −100, 100 0
Step function −100, 100 0
Quartic function, that is, noise −1.28, 1.28 0
Rosenbrock’s function −10, 10 0
Schwefel’s function −500, 500 0
Generalized Rastrigin’s function −5.12, 5.12 0
Noncontinuous Rastrigin’s function −5.12, 5.12 0
Ackley’s function −32, 32 0
Generalized Griewank’s function −600, 600 0
Weierstrass’s function −0.5, 0.5 0
Generalized penalized function −50, 50 0
Cosine mixture problem −1, 1
Rotated elliptic function −1.28, 1.28 0
Rotated Schwefel’s function −500, 500 0
Rotated Ackley’s function −32, 32 0
Rotated Griewank’s function −600, 600 0
Rotated Weierstrass’s function −0.5, 0.5 0
Rotated Rastrigin’s function −5.12, 5.12 0
Rotated Salomon’s function −100, 100 0
Rotated Rosenbrock’s function −100, 100 0
Shifted Rosenbrock’s function −100, 100 390
Shifted Rastrigin’s function −5, 5 −330
Shifted Schwefel’s problem 2.21 −100, 100 −450
Shifted rotated Ackley’s function −32, 32 −140
Shifted rotated Weierstrass’s function −0.5, 0.5 90