Abstract
The genetic algorithm (GA) is a powerful method which can be used to solve search and optimization problems. A genetic algorithm with tournament selection, uniform crossover and uniform mutation is used to optimize sediment transport parameters in this study. Two important parameters of sediment transport, the critical shear stress for deposition and resuspension, are optimized by GA. The results show that GA is efficient and robust for optimizing parameters of our sediment transport simulation of Deep Bay.
| Original language | English |
|---|---|
| Pages (from-to) | 582-587 |
| Number of pages | 6 |
| Journal | Journal of Hydrodynamics |
| Volume | 22 |
| Issue number | 5 SUPPL. 1 |
| DOIs | |
| Publication status | Published - 1 Oct 2010 |
Keywords
- Deep Bay
- Genetic Algorithm
- Sediment Transportation
ASJC Scopus subject areas
- Modelling and Simulation
- Condensed Matter Physics
- Mechanics of Materials
- Mechanical Engineering