- author = "Yoon-Seok Hong and Michael R. Rosen",
- title = "Identification of an urban fractured-rock aquifer dynamics using an evolutionary self-organizing modelling",
- journal = "Journal of Hydrology",
- year = "2002",
- volume = "259",
- pages = "89--104",
- number = "1-4",
- keywords = "genetic algorithms, genetic programming",
- ISSN = "0022-1694",
- owner = "wlangdon",
-
URL = "
http://www.sciencedirect.com/science/article/B6V6C-44KPK1K-4/2/cc33fdeeff7d3869ee62940e37e3e133",
-
DOI = "
doi:10.1016/S0022-1694(01)00587-X",
-
abstract = "An urban fractured-rock aquifer system, where disposal
of storm water is via 'soak holes' drilled directly
into the top of fractured-rock basalt, has a highly
dynamic nature where theories or knowledge to generate
the model are still incomplete and insufficient.
Therefore, formulating an accurate mechanistic model,
usually based on first principles (physical and
chemical laws, mass balance, and diffusion and
transport, etc.), requires time- and money-consuming
tasks.
Instead of a human developing the mechanistic-based model, this paper presents an approach to automatic model evolution in genetic programming (GP) to model dynamic behaviour of groundwater level fluctuations affected by storm water infiltration. This GP evolves mathematical models automatically that have an understandable structure using function tree representation by methods of natural selection ('survival of the fittest') through genetic operators (reproduction, crossover, and mutation).
The simulation results have shown that GP is not only capable of predicting the groundwater level fluctuation due to storm water infiltration but also provides insight into the dynamic behaviour of a partially known urban fractured-rock aquifer system by allowing knowledge extraction of the evolved models. Our results show that GP can work as a cost-effective modelling tool, enabling us to create prototype models quickly and inexpensively and assists us in developing accurate models in less time, even if we have limited experience and incomplete knowledge for an urban fractured-rock aquifer system affected by storm water infiltration.",
