Now showing items 1-10 of 10

  • Adaptive Locally Constrained Genetic Algorithm For Least-Cost Water Distribution Network Design 

    Johns, Matthew B.; Keedwell, Edward; Savic, Dragan (IWA Publishing, 2014)
    This paper describes the development of an adaptive locally constrained genetic algorithm (ALCO-GA) and its application to the problem of least cost water distribution network design. Genetic algorithms have been used ...
  • Design of a graphical framework for simple prototyping of pluvial flooding cellular automata algorithms 

    Guidolin, Michele; Duncan, Andrew; Keedwell, Edward; Chen, Albert S.; Djordjevic, Slobodan; Savic, Dragan (Centre for Water Systems, University of Exeter, 2011)
    Cellular automata (CA) algorithms can be used for quickly describing models of complex systems using simple rules. CADDIES is a new EPSRC and industry-sponsored project that aims to use the computational speed of CA ...
  • Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions 

    Maier, H.R.; Kapelan, Zoran; Kasprzyk, J.; Kollat, J.; Matott, L.S.; Cunha, M.C.; Dandy, G.C.; Gibbs, M.S.; Keedwell, Edward; Marchi, A.; Ostfeld, A.; Savic, Dragan; Solomatine, D.P.; Vrugt, J.A.; Zecchin, A.C.; Minsker, B.S.; Barbour, E.J.; Kuczera, G.; Pasha, F.; Castelletti, A.; Giuliani, M.; Reed, P.M. (Elsevier, 2014)
    The development and application of evolutionary algorithms (EAs) and other metaheuristics for the optimisation of water resources systems has been an active research field for over two decades. Research to date has emphasized ...
  • Formulation of fast 2D urban pluvial flood model using cellular automata approach 

    Ghimire, Bidur; Chen, Albert S.; Guidolin, Michele; Keedwell, Edward; Djordjevic, Slobodan; Savic, Dragan (IWA Publishing, 2013)
    With the increase in frequency and severity of flash flood events in major cities around the world, the infrastructure and people living in those urban areas are exposed continuously to high risk levels of pluvial flooding. ...
  • Intelligent urban water infrastructure management 

    Savic, Dragan; Bicik, Josef; Morley, Mark S.; Duncan, Andrew; Kapelan, Zoran; Djordjevic, Slobodan; Keedwell, Edward (Indian Institute of Science, 2013)
    Urban population growth together with other pressures, such as climate change, create enormous challenges to provision of urban infrastructure services, including gas, electricity, transport, water, etc. Smartgrid technology ...
  • An investigation of the efficient implementation of Cellular Automata on multi-core CPU and GPU hardware 

    Gibson, Mike; Keedwell, Edward; Savic, Dragan (Elsevier, 2015)
    Cellular automata (CA) have proven to be excellent tools for the simulation of a wide variety of phenomena in the natural world. They are ideal candidates for acceleration with modern general purpose-graphical processing ...
  • Novel Methods for Ranking District Metered Areas for Water Distribution Network Maintenance Scheduling 

    McClymont, Kent; Walker, David J.; Keedwell, Edward; Everson, Richard M.; Fieldsend, Jonathan E.; Savic, Dragan; Randall-Smith, Mark (2011)
    To prevent the accumulation of material in pipes which leads to the potential for discolouration events to occur, UK water companies often operate five year cleaning schedules. To organise the schedule District Metered ...
  • RAPIDS: Early Warning System for Urban Flooding and Water Quality Hazards 

    Duncan, Andrew; Chen, Albert S.; Keedwell, Edward; Djordjevic, Slobodan; Savic, Dragan (2013)
    This paper describes the application of Artificial Neural Networks (ANNs) as Data Driven Models (DDMs) to predict urban flooding in real-time based on weather radar and/or raingauge rainfall data. A time-lagged ANN is ...
  • Urban flood prediction in real-time from weather radar and rainfall data using artificial neural networks 

    Duncan, Andrew; Chen, Albert S.; Keedwell, Edward; Djordjevic, Slobodan; Savic, Dragan (International Association of Hydrological Sciences, 2011)
    This paper describes the application of ANNs (Artificial Neural Networks) as DDMs (Data Driven Models) to predict urban flooding in real-time based on BADC weather radar and/or rainfall data. A 123-manhole combined sewer ...
  • Urban pluvial flood modelling with real time rainfall information – UK case studies 

    Schellart, Alma; Ochoa, Susana; Simoes, Nuno; Wang, Li-Pen; Rico-Ramirez, Miguel; Liguori, Sara; Duncan, Andrew; Chen, Albert S.; Keedwell, Edward; Djordjevic, Slobodan; Savic, Dragan; Saul, Adrian; Maksimovic, Cedo (IWA (International Water Association), 2011)
    In order to effectively prevent, mitigate and manage urban pluvial flooding, it is necessary to accurately model and predict the spatial and temporal distribution of both rainfall and surface flooding. A number of different ...