Prediction of sediment transportation in deep bay (Hong Kong) using genetic algorithm

F. X. Zhang, Wing Hong Onyx Wai, Y. W. Jiang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)


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 languageEnglish
Pages (from-to)582-587
Number of pages6
JournalJournal of Hydrodynamics
Issue number5 SUPPL. 1
Publication statusPublished - 1 Oct 2010


  • Deep Bay
  • Genetic Algorithm
  • Sediment Transportation

ASJC Scopus subject areas

  • Modelling and Simulation
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering


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