Research Article
Feature Selection for Very Short-Term Heavy Rainfall Prediction Using Evolutionary Computation
Table 5
Parameters in GA/DE.
| GA parameters |
| Fitness function | -NN (), -VNN (), SVM (type: C_SVC, kernel function: polynomial, linear, and precomputed) [27] | Encoding | Binary (72 dimensions) | No. of populations | 20 | No. of generations | 100 | Selection | Tournament selection | Crossover | Multipoint crossover (3 points) | Mutation | Genewise mutation () | Replacement | If an offspring is superior to the worst individual in the population, we replace it with the worst one |
| DE parameters |
| Fitness function | -NN (), -VNN (), SVM (type: C_SVC, kernel function: polynomial) | Encoding | Real number (23 dimensions) | No. of populations | 20 | No. of generations | 100 | Crossover rate | 0.03 | FVal | 0.05 | Replacement | If an offspring is superior to the parent in the population, we replace it with the parent |
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