May 24, 2019   7:04 a.m. Ela
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Evolutionary algorithms and data driven methods in water management of landscape

Supervisor: prof. Ing. Milan Čistý, PhD.


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Project description:Outputs of the project will serve as support for management of water element in the landscape (rainfalls, floods,water regime of soil, irrigation). This element has multiple effects in landscape - from livening, economically beneficial to destructive. Important characteristic of hydrological processes is randomness of their occurrence and financial expenses because of the damages after destructive event (flood, erosive processes), or during investing to management of the water in landscape, while building for example irrigation or drainage systems. Goal of the project is developing new and more flexible methods of forecasting of water regime in landscape and also developing progressive and reliable methods for optimization of investments to water buildings in landscape which regulate the water regime. Emphasis during solving is on the presentation of methodologically new methods from the field of artificial intelligence (data driven methods, artificial neural networks, heuristic search etc.).
Kind of project:VEGA ()
Department:Department of Land and Water Resources Management (FCE)
Project identification:1/1044/11
Project status:Successfully completed
Project start date :01. 01. 2011
Project close date:31. 12. 2014
Number of workers in the project:2
Number of official workers in the project:0