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  • Data-driven multi-objective optimisation of coal-fired boiler combustion systems 

    Rahat, AAM; Chunlin, W; Everson, R; Fieldsend, J (Elsevier, 2018-08-09)
    Coal remains an important energy source. Nonetheless, pollutant emissions – in particular Oxides of Nitrogen (NOx) – as a result of the combustion process in a boiler, are subject to strict legislation due to their damaging ...
  • Selection for Gaia across multiple scales 

    Lenton, TM; Daines, SJ; Dyke, JG; Nicholson, AE; Wilkinson, DM; Williams, HTP (Elsevier, 2018-07-02)
    Recently postulated mechanisms and models can help explain the enduring ‘Gaia’ puzzle of environmental regulation mediated by life. Natural selection can produce nutrient recycling at local scales and regulation of ...
  • Concept drift and anomaly detection in graph streams 

    Zambon, D; Alippi, C; Livi, L (Institute of Electrical and Electronics Engineers (IEEE), 2018-03-09)
    Graph representations offer powerful and intuitive ways to describe data in a multitude of application domains. Here, we consider stochastic processes generating graphs and propose a methodology for detecting changes in ...
  • Bridging Elementary Landscapes and a Geometric Theory of Evolutionary Algorithms: First Steps 

    Diez García, Marcos; Moraglio, Alberto (Springer, 2018)
    Based on a geometric theory of evolutionary algorithms, it was shown that all evolutionary algorithms equipped with a geometric crossover and no mutation operator do the same kind of convex search across representations, ...
  • Program trace optimization 

    Moraglio, A; McDermott, J (Springer, 2018)
    We introduce Program Trace Optimization (PTO), a system for `universal heuristic optimization made easy'. This is achieved by strictly separating the problem from the search algorithm. New problem definitions and new generic ...
  • New Achievable Sum Degrees of Freedom in Half-duplex Single-antenna Multi-user Multi-hop Networks 

    Wang, C; Wanga, P; Liu, F; Min, G (Institute of Electrical and Electronics Engineers (IEEE), 2018-02-21)
    IEEE We investigate the achievable sum degrees of freedom (DoF) in a class of single-antenna multi-user multi-hop relay networks. The networks consist of multiple information sources and destinations, without direct signal ...
  • Complexity of Approximate Query Answering under Inconsistency in Datalog+/- 

    Lukasiewicz, T; Malizia, E; Molinaro, C (IJCAI, 2018-07)
    Several semantics have been proposed to query inconsistent ontological knowledge bases, including the intersection of repairs and the intersection of closed repairs as two approximate inconsistencytolerant semantics. ...
  • Complexity of Approximate Query Answering under Inconsistency in Datalog+/- 

    Lukasiewicz, T; Malizia, E; Molinaro, C (SEBD - Sistemi Evoluti per Basi di Dati, 2018-06)
    Several semantics have been proposed to query inconsistent ontological knowledge bases, including the intersection of repairs and the intersection of closed repairs as two approximate inconsistency-tolerant semantics. ...
  • A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics 

    Daniels, S; Rahat, AAM; Everson, R; Tabor, G; Fieldsend, J (Springer Verlag, 2018)
    In many product design and development applications, Computational Fluid Dynamics (CFD) has become a useful tool for analysis. This is particularly because of the accuracy of CFD simulations in predicting the important ...
  • Deploying edge computing nodes for large-scale IoT: A diversity aware approach 

    Zhao, Z; Min, G; Gao, W; Wu, Y; Duan, H; Ni, Q (Institute of Electrical and Electronics Engineers (IEEE), 2018-04-06)
    The recent advances in microelectronics and communications have led to the development of large-scale IoT networks, where tremendous sensory data is generated and needs to be processed. To support real-time processing for ...
  • 3D reconstruction of "in-the-wild" faces in images and videos 

    Booth, J; Roussos, A; Ververas, E; Antonakos, E; Ploumpis, S; Panagakis, Y; Zafeiriou, S (Institute of Electrical and Electronics Engineers, 2018-05-15)
    3D Morphable Models (3DMMs) are powerful statistical models of 3D facial shape and texture, and are among the state-of-the-art methods for reconstructing facial shape from single images. With the advent of new 3D sensors, ...
  • Computationally Efficient Local Optima Network Construction 

    Fieldsend, JE (Association for Computing Machinery (ACM), 2018-07-15)
    There has been an increasing amount of research on the visualisation of search landscapes through the use of exact and approximate local optima networks (LONs). Although there are many papers available describing the ...
  • Voronoi-Based Archive Sampling for Robust Optimisation 

    Doherty, K; Alyahya, K; Fieldsend, JE; Akman, O (Association for Computing Machinery (ACM), 2018-07-15)
    We propose a framework for estimating the quality of solutions in a robust optimisation setting by utilising samples from the search history and using MC sampling to approximate a Voronoi tessellation. This is used to ...
  • Robust Multi-Modal Optimisation 

    Alyahya, K; Doherty, K; Akman, O; Fieldsend, JE (Association for Computing Machinery (ACM), 2018-07-15)
    Robust and multi-modal optimisation are two important topics that have received significant attention from the evolutionary computation community over the past few years. However, the two topics have usually been ...
  • Aggregated Sparse Attention for Steering Angle Prediction 

    He, S; Kangin, D; Mi, Y; Pugeault, N (Institute of Electrical and Electronics Engineers Inc., 2018)
    In this paper, we apply the attention mechanism to autonomous driving for steering angle prediction. We propose the first model, applying the recently introduced sparse attention mechanism to visual domain, as well as the ...
  • Continuous Control with a Combination of Supervised and Reinforcement Learning 

    Kangin, D; Pugeault, N (Institute of Electrical and Electronics Engineers, 2018)
    Reinforcement learning methods have recently achieved impressive results on a wide range of control problems. However, especially with complex inputs, they still require an extensive amount of training data in order to ...
  • More complexity results about reasoning over (m)CP-nets 

    Malizia, E (International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2018-07)
    Aggregating preferences over combinatorial domains has several applications in artificial intelligence. Due to the exponential nature of combinatorial preferences, compact representations are needed, and (m)CP-nets are ...
  • Engaging stakeholders in research to address water-energy-food (WEF) nexus challenges 

    Hoolohan, C; Larkin, A; McLachlan, C; Falconer, R; Soutar, I; Suckling, J; Varga, L; Haltas, I; Druckman, A; Lumbroso, D; Scott, M; Gilmour, D; Ledbetter, R; McGrane, S; Mitchell, C; Yu, D (Springer Verlag, 2018-04-04)
    The water–energy–food (WEF) nexus has become a popular, and potentially powerful, frame through which to analyse interactions and interdependencies between these three systems. Though the case for transdisciplinary research ...
  • Redesign of Industrial Apparatus using Multi-Objective Bayesian Optimisation 

    Daniels, SJ; Rahat, AAM; Tabor, GR; Fieldsend, JE; Everson, RM (International Conference on Computational Fluid Dynamics, 2018-07)
    Introduction. Design optimisation using Computational Fluid Dynamics (CFD) often requires extremising multiple (and often conflicting) objectives simultaneously. For instance, a heat exchanger design will require ...
  • Unmanned Aerial Vehicles for Disaster Management 

    Luo, C; Miao, W; Ullah, H; McClean, S; Parr, G; Min, G (Springer Verlag, 2017)
    This chapter highlights the communication and network technologies that contribute to UAV disaster management systems, surveys the latest development of UAV-assisted disaster management applications, including early ...

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