Table 6 Parameters Details for Existing and Proposed Algorithms.
Algorithm | Parameter | Value | Description |
|---|---|---|---|
Proposed hybrid WWO-ACO | Population size | 100 | Size of the population for iterations |
Max iterations | 200 | Maximum number of iterations for convergence | |
Initial pheromone | 0.1 | Starting amount of pheromone in the algorithm | |
Max wave height | 10 | Maximum height of the waves | |
Convergence threshold | 0.001 | The threshold for determining convergence | |
GA | Population size | 100 | Size of the population for the genetic algorithm |
Max iterations | 200 | Maximum number of iterations for convergence | |
Crossover rate | 0.8 | The rate at which crossover occurs | |
Mutation rate | 0.01 | Mutation Rate | |
SMO | Global learning limit (GLL) | 45 | Shows the GLL limit |
Local learning limit (L) | 55 | Shows the LLL limit | |
Max generations (GN) | 100 | Shows the GN count | |
Probability range (pr) | [0.1,0.4] | Shows the pr count | |
WWO | Number of waves | 50 | Shows the wave count |
Max iterations | 200 | Shows the iteration count | |
Initial wavelength | 0.8 | Shows the wave-length count | |
ACO | Pheromone Importance(q) | 0.5 | Shows q count |
initial pheromone | 0.05 | Shows the count for the initial stage | |
Number of ants | 20 | Shows ant count | |
max iterations | 200 | Shows the iteration max count |
