Research Article
Power Transmission Network Optimization Strategy Based on Random Fractal Beetle Antenna Algorithm
| Algorithm | Detail |
| FPA | Population size: 50 | Iterations: 1000 | Search range/limits: [−5, 5] for each variable | Fitness function: mean squared error | Mutation rate: 0.2 | Termination criterion: 6000 |
| GWO | Population size: 30 | Iterations: 500 | Search range/limits: [−10, 10] for each variable | Fitness function: Rosenbrock function | Mutation rate: 0.1 | Termination criterion: 5000 |
| WOA | Population size: 50 | Iterations: 1000 | Search range/limits: [−100, 100] for each variable | Fitness function: sphere function | Mutation rate: 0.5 | Termination criterion: 6000 |
| KH | Population size: 100 | Iterations: 2000 | Search range/limits: [−50, 50] for each variable | Fitness function: Ackley function | Mutation rate: 0.2 | Termination criterion: 7000 |
| PSO-TVAC | Population size: 40 | Iterations: 800 | Search range/limits: [−1, 1] for each variable | Fitness function: Rastrigin function | Termination criterion: 6000 |
| BAS | Population size: 50 | Iterations: 1000 | Search range/limits: [−5, 5] for each variable | Fitness function: Griewank function | Mutation rate: 0.2 | Termination criterion: 8000 |
| BAS-RDEO | Mutation rate: 0.3 | Radius: 0.1 | Encircling rate: 0.5 | Termination criterion: 6000 |
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