Dr Neil Urquhart

Lecturer

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Dr Neil Urquhart is a lecturer within the Institute for Informatics and Digital Innovation and the leader of the Optimisation Theme. His research interests include Evolutionary Algorithms and multi-agent systems applied to the optimisation of scheduling and routing problems, with a particular interest in using environmental impact as an optimisation criterion.

He has  a special interest in the challenges involving the optimisation of real-world problems. Application areas of  interest include pedestrian tracking and , vehicle routing and scheduling. He is currently co-editing a book on automated scheduling and planning which was published by Springer in August 2013, more details here.

Currently he is engaged in the application of nature-inspired techniques to CO2 reduction through optimisation. Neil is also an experienced software developer, specialising in Java. Examplea of this work may be found at here and  vrptwemissions.appspot.com

 
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Areas of Expertise link icon

  • Bio-inspired Computing
    The Bio-Inspired Algorithms group within the Centre for Algorithms, Visualisation and Evolving Systems is a large and thriving group with interests in nature-inspired computing that include Evolutionary Computing, Hyper-Heuristics, Artificial Immune Systems and Swarm Intelligence.
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n.urquhart@napier.ac.uk

+44 (0)131 455 2655

Room C38
Merchiston Campus
10 Colinton Road
Edinburgh
EH10 5DT

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    Recent Projects

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    PhD Project Involvement

    Alicja Pawluczuk (PhD 2016-)
    Digital media for widening cultural engagement.
    Thomas Farrenkopf (PhD 2011-)
    Applying semantic technologies to multi-agent models for software simulations.
    John Mowbray (PhD 2014-)
    The impact of networking supported by social media on career management skills.
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    Recent Publications

    Farrenkopf, T., Guckert, M., Urquhart, N., Wells, S. (2016). Demo paper: AGADE Scalability of ontology based agent simulations. In: Demazeau, Y., Ito, T., Bajo, J., Cuaresma, M. (Eds.) Advances in Practical Applications of Scalable Multi-agent Systems. The {PAAMS} Collection - 14th International Conference, {PAAMS} 2016,, Lecture Notes in Computer Science, () (9662 ed.). (pp. 256--259). : . Springer.

    Farrenkopf, T., Guckert, M., Urquhart, N. (2015). AGADE - Using personal preferences and world knowledge to model agent behaviour. In: Demazeau, Y., Decker, K., Bajo, J. (Eds.) Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability. The PAAMS Collection. Lecture Notes in Artificial Inteligence, 9086, () ( ed.). (pp. ). : . Springer.

    Farrenkopf, T., Guckert, M., Urquhart, N. (2015). AGADE: Using communities of agents to provide realistic feedback in business smulations. In: Demazeau, Y., Decker, K., Pérez, J., Prieta, F. (Eds.) Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability. The PAAMS Collection, Lecture Notes in Artificial Intelligence, 9086, () ( ed.). (pp. ). : . Springer International Publishing.

    Sim, K., Hart, E., Urquhart, N., Pigden, T. (2015). A new rich vehicle routing problem model and benchmark resource. In: (Ed.) Proceedings of the The 11th edition of the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2015), , () ( ed.). (pp. ). : . .

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    Supervised dissertations

    Maroulis, G. (2014). Comparison between Maximum Entropy and Naïve Bayes classifiers: Case study; Appliance of Machine Learning Algorithms to an Odesk’s Corporation Dataset (MSc Information Systems Development Dissertation). Edinburgh Napier University (Hart, E., Urquhart, N.).

    McMillan, C. (2014). Comparison of Pathfinding Algorithms Using the GPGPU (BEng (Hons) Games Development Dissertation). Edinburgh Napier University (Hart, E., Urquhart, N.).

    Crowson, L. (2013). An Android Application to Enable Localised Access to Services Using Wi-Fi (BEng (Hons) Computing Dissertation). Edinburgh Napier University (Kerridge, J., Urquhart, N.).

    Resources