Research Article
Multiobjective Optimal Control for Hydraulic Turbine Governing System Based on an Improved MOGWO Algorithm
Table 1
The parameters of different multiobjective optimization algorithms.
| | Description | sMOGWO | MOGWO | MOPSO | NSGA-III | MOEA/D | SPEA2 |
| | Maximum number of iterations | 1000 | 1000 | 1000 | 1000 | 1000 | 1000 |
| | Population size | nPop=100 | nPop=100 | nPop=100 | nPop=100 | nPop=100 | nPop=100 |
| | Archive size | 100 | 100 | 100 | 100 | 100 | 100 |
| | Inflation rate | α=0.1 | α=0.1 | α=0.1 | / | / | / |
| | Number of grids per dimension | nGrid=10 | nGrid=10 | nGrid=10 | / | / | / |
| | Leader selection pressure | β=4 | β=4 | β=4 | / | / | / |
| | Deletion selection pressure | γ=2 | γ=2 | γ=2 | / | / | / |
| | Inertia weight | / | / | =0.5 | / | / | / |
| | Inertia weight damping rate | / | / | =0.99 | / | / | / |
| | Mutation rate | / | / | mu=0.1 | mu=0.1 | mu=0.1 | mu=0.1 |
| | Crossover rate | / | / | / | 0.5 | 0.5 | 0.5 |
| | Number of Neighbors | / | / | / | / | 10 | / |
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