Research Article
Prediction of Outlet Pressure for the Sulfur Dioxide Blower Based on Conv1D-BiGRU Model and Genetic Algorithm
| | Inputs: | | | Pc: Probability of crossover occurrence | | | Pm: Probability of mutation occurrence | | | M: Population size | | | Pop: Initial population | | | G: Total number of generations of evolution | | | Tf: Adaptation function threshold | | | F(i): Fitness calculation function | | | Output: Cbest: Best Chromosome | | (1) | do | | (2) | for i in Pop: | | (3) | f = F(i) | | (4) | print Cbest and f | | (5) | Initial empty population: NPop | | (6) | do | | (7) | Select two chromosomes from Pop according to f | | (8) | Genetic code | | (9) | if random (0, 1) < Pc | | (10) | Perform crossover operations according to Pc | | (11) | if random (0, 1) < Pm | | (12) | Perform mutation operations according to Pm | | (13) | New chromosomes are added to NPop | | (14) | Until NPop scale reaches M | | (15) | NPop instead of Pop | | (16) | Until f reached Tf or the number of evolutions reached G |
|
