Now showing items 1-18 of 18

  • 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 ...
  • An analysis of the interface between evolutionary algorithm operators and problem features for water resources problems. A case study in water distribution network design 

    McClymont, Kent; Keedwell, Edward; Savic, Dragan (Elsevier, 2015-02-07)
    Evolutionary Algorithms (EAs) have been widely employed to solve water resources problems for nearly two decades with much success. However, recent research in hyperheuristics has raised the possibility of developing ...
  • Automated construction of evolutionary algorithm operators for the bi-objective water distribution network design problem using a genetic programming based hyper-heuristic approach 

    McClymont, Kent; Keedwell, Edward; Savic, Dragan; Randall-Smith, Mark (IWA Publishing for IAHR-IWA-IAHS Joint Committee on Hydroinformatics, 2014)
    The water distribution network (WDN) design problem is primarily concerned with finding the optimal pipe sizes that provide the best service for minimal cost; a problem of continuing importance both in the UK and ...
  • The Battle of the Water Networks II (BWN-II) 

    Marchi, A.; Salomons, E; Ostfeld, A.; Kapelan, Zoran; Simpson, A; Zecchin, A. C.; Maier, H.R.; Wu, Z; Elsayed, S; Song, Y; Walski, T.; Stokes, C; Wu, W; Dandy, G.C.; Alvisi, S; Creaco, Enrico; Franchini, Marco; Saldarriaga, J; Páez, D; Hernandez, David; Bohórquez, J; Bent, R; Coffrin, C; Judi, D; McPherson, T; van Hentenryck, P; Matos, J; Monteiro, A; Matias, N; Yoo, D; Lee, H; Kim, J; Iglesias-Rey, P; Martínez-Solano, F; Mora-Meliá, D; Ribelles-Aguilar, J; Guidolin, Michele; Fu, Guangtao; Reed, P.M.; Wang, Qi; Liu, H; McClymont, K; Johns, Matthew B.; Keedwell, Edward; Kandiah, V; Jasper, M; Drake, K; Shafiee, E; Barandouzi, M; Berglund, A; Brill, D; Mahinthakumar, G; Ranjithan, R; Zechman, E; Morley, Mark S.; Tricarico, Carla; de Marinis, G.; Tolson, B; Khedr, A; Asadzadeh, M (American Society of Civil Engineers, 2013-05-18)
    The Battle of the Water Networks II (BWN-II) is the latest of a series of competitions related to the design and operation of water distribution systems (WDSs) undertaken within the Water Distribution Systems Analysis ...
  • CADDIES: a new framework for rapid development of parallel cellular automata algorithms for flood simulation 

    Guidolin, Michele; Duncan, Andrew; Ghimire, B; Gibson, M; Keedwell, Edward; Chen, Albert S.; Djordjevic, Slobodan; Savic, Dragan (2012)
    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 ...
  • 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 ...
  • Pipe smoothing genetic algorithm for least cost water distribution network design 

    Johns, M; Keedwell, Edward; Savić, Dragan (ACM, 2013-07-10)
    This paper describes the development of a Pipe Smoothing Genetic Algorithm (PSGA) and its application to the problem of least cost water distribution network design. Genetic algorithms have been used widely for the ...
  • Predictive risk modelling of real-world wastewater network incidents 

    Bailey, J; Keedwell, Edward; Kapelan, Zoran; Djordjevic, Slobodan; Burton, C; Harris, E (Elsevier, 2015)
    Due to growing pressure on wastewater network operators to deliver improved serviceability and lower costs to customers, there is a real need for greater understanding of the factors which influence incident rates, enabling ...
  • 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 ...
  • Sequence analysis-based hyper-heuristics for water distribution network optimisation 

    Kheiri, A; Keedwell, Edward; Gibson, M; Savić, Dragan (Elsevier, 2015-09)
    Hyper-heuristics operate at the level above traditional (meta-)heuristics that ‘optimise the optimiser’. These algorithms can combine low level heuristics to create bespoke algorithms for particular classes of problems. ...
  • Understanding the efficient parallelisation of Cellular Automata on CPU and GPGPU hardware 

    Gibson, M; Keedwell, Edward; Savić, Dragan (Association for Computing Machinery (ACM), 2013-07-10)
    Cellular automata, represented by a discrete set of elements are ideal candidates for parallelisation, particularly on graphics cards using GPGPU technology. This paper shows that the speedups of 50 times over CPU are ...
  • 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 ...