Now showing items 1-20 of 266

  • Accurate and generic sender selection for bulk data dissemination in low-power wireless networks 

    Zhao, Z; Dong, W; Bu, J; Gu, T; Min, G (Institute of Electrical and Electronics Engineers (IEEE) / Association for Computing Machinery (ACM), 2016)
    Data dissemination is a fundamental service offered by low-power wireless networks. Sender selection is the key to the dissemination performance and has been extensively studied. Sender impact metric plays a significant ...
  • Accurate range-free localization for anisotropic wireless sensor networks 

    Zhang, S; Liu, X; Wang, J; Cao, J; Min, G (Association for Computing Machinery (ACM), 2015-05-01)
    Position information plays a pivotal role in wireless sensor network (WSN) applications and protocol/ algorithm design. In recent years, range-free localization algorithms have drawn much research attention due to their ...
  • Achieving New Upper Bounds for the Hypergraph Duality Problem through Logic 

    Gottlob, G; Malizia, E (Society for Industrial and Applied Mathematics, 2017)
    The hypergraph duality problem DUAL is defined as follows: given two simple hypergraphs G and H, decide whether H consists precisely of all minimal transversals of G (in which case we say that G is the dual of H, or, ...
  • 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 ...
  • Alternative Infill Strategies for Expensive Multi-Objective Optimisation 

    Rahat, A; Everson, RM; Fieldsend, JE (Association for Computing Machinery (ACM), 2017-07-15)
    Many multi-objective optimisation problems incorporate computationally or financially expensive objective functions. State-of-the-art algorithms therefore construct surrogate model(s) of the parameter space to objective ...
  • 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 ...
  • Ant Colony Optimisation for Exploring Logical Gene-Gene Associations in Genome Wide Association Studies. 

    Sapin, E; Keedwell, E; Frayling, TM (Copicentro Editorial, 2013)
    In this paper a search for the logical variants of gene-gene interactions in genome-wide association study (GWAS) data using ant colony optimisation is proposed. The method based on stochastic algorithms is tested on a ...
  • An Ant Colony Optimization and Tabu List Approach to the Detection of Gene-Gene Interactions in Genome-Wide Association Studies [Research Frontier] 

    Sapin, E; Keedwell, E; Frayling, T (Institute of Electrical and Electronics Engineers (IEEE), 2015-11-01)
    © 2015 IEEE. In this paper, a novel ant colony optimization and tabu list approach for the discovery of gene-gene interactions in genome-wide association study data is proposed. The method is tested on a number of diseases ...
  • Applied Gaussian Process in Optimizing Unburned Carbon Content in Fly Ash for Boiler Combustion 

    Wang, C; Liu, Y; Everson, R; Rahat, AAM; Zheng, S (Hindawi Publishing Corporation, 2017-05-11)
    Recently, Gaussian Process (GP) has attracted generous attention from industry. This article focuses on the application of coal fired boiler combustion and uses GP to design a strategy for reducing Unburned Carbon Content ...
  • Artificial development of connections in SHRUTI networks using a multi-objective genetic algorithm 

    Townsend, J; Keedwell, EC; Galton, A (Association for Computing Machinery (ACM), 2013-07-10)
    SHRUTI is a model of how first-order logic can be represented and reasoned upon using a network of spiking neurons in an attempt to model the brain’s ability to perform reasoning. This paper extends the biological ...
  • An artificial neural network-based rainfall runoff model for improved drainage network modelling 

    Walker, David; Keedwell, EC; Savić, Dragan; Kellagher, R (City University of New York (CUNY): CUNY Academic Works, 2014-08-17)
    Modelling rainfall-runoff processes enables hydrologists to plan their response to flooding events. Urban drainage catchment modelling requires rainfall-runoff models as a prerequisite. In the UK, one of the main software ...
  • Assessment and optimisation of STCA performance: Using the Pareto optimal receiver operating characteristic 

    Reckhouse, William; Everson, Richard M.; Fieldsend, Jonathan E.; Bush, David; Arnold, Trevor; Hayward, Richard; Slater, Keith (2008)
    Short Term Conflict Alert (STCA) systems are complex software programs, with many parameters that must be adjusted to achieve best performance. We describe a simple evolutionary algorithm for optimising the trade-off between ...
  • 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 ...
  • Automatic shape optimisation of the turbine-99 draft tube 

    Daniels, SJ; Rahat, A; tabor, G; Fieldsend, J; Everson, R (OpenFOAM, 2017-07)
    INTRODUCTION The performance of a hydraulic reaction turbine is significantly affected by the efficiency of its draft tube. Factors which impede the tube’s performance include the geometrical shape (profile), and velocity ...
  • Automatic thresholding from the gradients of region boundaries 

    Landini, G; Randell, DA; Fouad, S; Galton, AP (Wiley, 2016-09-20)
    We present an approach for automatic threshold segmentation of greyscale images. The procedure is inspired by a reinterpretation of the strategy observed in human operators when adjusting thresholds manually and interactively ...
  • 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 ...
  • The Bayesian Decision Tree Technique with a Sweeping Strategy 

    Schetinin, Vitaly; Fieldsend, Jonathan E.; Partridge, Derek; Krzanowski, Wojtek J.; Everson, Richard M.; Bailey, Trevor C.; Hernandez, Adolfo (2004)
    The uncertainty of classification outcomes is of crucial importance for many safety critical applications including, for example, medical diagnostics. In such applications the uncertainty of classification can be reliably ...
  • Bayesian estimation and classification with incomplete data using mixture models 

    Zhang, Jufen; Everson, Richard M. (IEEE, 2004)
    Reasoning from data in practical problems is frequently hampered by missing observations. Mixture models provide a powerful general semi-parametric method for modelling densities and have close links to radial basis function ...
  • A Bayesian Framework for Active Learning 

    Fredlund, Richard; Everson, Richard M.; Fieldsend, Jonathan E. (Institute of Electrical and Electronics Engineers (IEEE), 2010)
    We describe a Bayesian framework for active learning for non-separable data, which incorporates a query density to explicitly model how new data is to be sampled. The model makes no assumption of independence between queried ...
  • Bayesian inductively learned modules for safety critical systems 

    Fieldsend, Jonathan E.; Bailey, Trevor C.; Everson, Richard M.; Krzanowski, Wojtek J.; Partridge, Derek; Schetinin, Vitaly (Interface Foundation of North America, Inc., 2003)
    This work examines the use of Bayesian inductively learned software modules for safety critical systems. Central to the safety critical application is the desire to generate confidence measures associated with predictions. ...