A Hybrid Global Optimization Algorithm: Particle Swarm Optimization in Association with a Genetic Algorithm - Complex System Modelling and Control Through Intelligent Soft Computations - page 65

x 10 4

14

GA with traditional crossover
GA with multiple crossover
Standard PSO
Hybrid algorithm

12

10

8

6

4

2

0

0 2000 4000 6000 8000 10000

Iteration

Fig. 8 The evolutionary trajectory of the single-objective optimization algorithm on the

Rastringin test function

1400

GA with traditional crossover
GA with multiple crossover
Standard PSO
Hybrid algorithm

1200

1000

800

600

400

200

0

0 2000 4000 6000 8000 10000

Ite r atio n

1

0.8

0.6

0.4

0.2

0

2000 3000 4000 5000 6000 7000 8000 9000 10000