Improved ant colony optimization algorithms for continuous ... - CoDE

12 Ant Colony Optimization
Average of Solution Value
0e+00 2e+05 4e+05 6e+05
Average of Solution Value
500 1500 2500
Average of Solution Value
0 20 40 60 80
10 0
10 0
10 0
10 1
10 1
10 1
sphere−100 dimensions
10
Function evaluations
2
10 3
10 4
rastrigin−100 dimensions
10
Function evaluations
2
10 3
10 4
salomon−100 dimensions
10
Function evaluations
2
10 3
10 4
Sep−ACOr−ant2−q00001−k100
Sep−ACOr−ant2−q00001−k50
Sep−ACOr−ant2−q01−k100
Sep−ACOr−ant2−q01−k50
10 5
10 5
10 6
Sep−ACOr−ant2−q00001−k100
Sep−ACOr−ant2−q00001−k50
Sep−ACOr−ant2−q01−k100
Sep−ACOr−ant2−q01−k50
10 6
Sep−ACOr−ant2−q00001−k100
Sep−ACOr−ant2−q00001−k50
Sep−ACOr−ant2−q01−k100
Sep−ACOr−ant2−q01−k50
10 5
10 6
Average of Solution Value
0 5 10 15 20
Average of Solution Value
0 2000 4000 6000
Average of Solution Value
0 20 40 60 80 100
10 0
10 0
10 0
10 1
ackley−100 dimensions
Sep−ACOr−ant2−q00001−k100
Sep−ACOr−ant2−q00001−k50
Sep−ACOr−ant2−q01−k100
Sep−ACOr−ant2−q01−k50
10 1
10 1
10
Function evaluations
2
10 3
10 4
griewank−100 dimensions
10
Function evaluations
2
10 3
10 4
10
Function evaluations
2
10 3
10 4
10 5
10 5
10 6
Sep−ACOr−ant2−q00001−k100
Sep−ACOr−ant2−q00001−k50
Sep−ACOr−ant2−q01−k100
Sep−ACOr−ant2−q01−k50
weierstrass−100 dimensions
Sep−ACOr−ant2−q00001−k100
Sep−ACOr−ant2−q00001−k50
Sep−ACOr−ant2−q01−k100
Sep−ACOr−ant2−q01−k50
Figure 2.4: The development of the solution quality over the number of
function evaluations for Sep-ACOR with different parameter configurations.
The adopted parameter configurations for Sep-ACOR are shown in the legends.
10 5
10 6
10 6