Neil Urquhart

Neil Urquhart

Dr Neil Urquhart

Lecturer

Biography

Dr Neil Urquhart is a lecturer within the School of Computing. After studying computing as an undergraduate he worked as a software developer and systems administrator in the printing and packaging sector.

He returned to academia and completed a PhD in 2002 which examined the use of nature inspired techniques and software agents to construct and optimise delivery networks.

Since 2002 he has worked as a lecturer within the School Of Computing at Edinburgh Napier where he is currently the programme leader for Computing Science.

Research Areas

News

Events

Esteem

Conference Organising Activity

  • Meta-heuristics stream chair for YOR17.
  • Two CAVES members have papers accepted at EvoSTAR Conference to be held in Copenhagen in April
  • Neil Urquhart to chair Meta-Heuristics stream at YOR19
  • Co-Chair EvoStim 2011
  • Edinburgh Napier Staff Conference 2013 (member of conference planning group)
  • Genetic and Evolutionary Computation Conference (GECCO) 2010
  • Dr Neil Urquhart and Kevin Sim are to chair the second edition of EvoINDUSTRY at EvoStar 2014 in Baeza Spain.

 

Editorial Activity

  • New book on automated scheduling and planning, being published by Springer due for release late 2013.

 

Media Activity

  • Optimisation@IIDI featured on LogisticsManager.Com

 

Date


74 results

Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World

Book
Urquhart, N. (2022)
Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World. Cham: Springer. https://doi.org/10.1007/978-3-030-98108-2
This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions. The chapters in Part I introdu...

Modelling the Impact of Individual Preferences on Traffic Policies

Journal Article
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (in press)
Modelling the Impact of Individual Preferences on Traffic Policies. SN Computer Science,
Urban traffic is a system always prone to overload, often approaching breakdown during rush hour times. Well adjusted modifications of traffic policies, with appropriate inter...

Using Semantic Technology to Model Persona for Adaptable Agents

Conference Proceeding
Nguyen, J., Farrenkopf, T., Guckert, M., Powers, S., & Urquhart, N. (2021)
Using Semantic Technology to Model Persona for Adaptable Agents. In ECMS 2021, 35th Proceedings (172-178). https://doi.org/10.7148/2021
In state of the art research a growing interest in the application of agent models for the simulation of road traffic can be observed. Software agents are particularly suitabl...

An overview of agent-based traffic simulators

Journal Article
Nguyen, J., Powers, S. T., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021)
An overview of agent-based traffic simulators. Transportation Research Interdisciplinary Perspectives, 12, https://doi.org/10.1016/j.trip.2021.100486
Individual traffic significantly contributes to climate change and environmental degradation. Therefore, innovation in sustainable mobility is gaining importance as it helps t...

Modelling Individual Preferences to Study and Predict Effects of Traffic Policies

Conference Proceeding
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021)
Modelling Individual Preferences to Study and Predict Effects of Traffic Policies. In Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection 19th International Conference, PAAMS 2021, Salamanca, Spain, October 6–8, 2021, Proceedings (163-175). https://doi.org/10.1007/978-3-030-85739-4_14
Traffic can be viewed as a complex adaptive system in which systemic patterns arise as emergent phenomena. Global behaviour is a result of behavioural patterns of a large set ...

Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour

Conference Proceeding
Nguyen, J., Powers, S. T., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021)
Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour. In Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good: The PAAMS Collection 19th International Conference, PAAMS 2021, Salamanca, Spain, October 6–8, 2021, Proceedings (363-366). https://doi.org/10.1007/978-3-030-85739-4_33
AGADE Traffic is an agent-based traffic simulator that can be used to analyse purpose-driven travel behaviour of individuals that leads to the emergence of systemic patterns i...

Optimisation Algorithms for Parallel Machine Scheduling Problems with Setup Times

Conference Proceeding
Kittel, F., Enekel, J., Guckert, M., Holznigenkemper, J., & Urquhart, N. (2021)
Optimisation Algorithms for Parallel Machine Scheduling Problems with Setup Times. In GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion (131-132). https://doi.org/10.1145/3449726.3459487
Parallel machine scheduling is a problem of high practical relevance for the manufacturing industry. In this paper, we address a variant in which an unweighted combination of ...

A Conceptual Framework for Establishing Trust in Real World Intelligent Systems

Journal Article
Guckert, M., Gumpfer, N., Hannig, J., Keller, T., & Urquhart, N. (2021)
A Conceptual Framework for Establishing Trust in Real World Intelligent Systems. Cognitive Systems Research, 68, 143-155. https://doi.org/10.1016/j.cogsys.2021.04.001
Intelligent information systems that contain emergent elements often encounter trust problems because results do not get sufficiently explained and the procedure itself can no...

Real Time Optimisation of Traffic Signals to Prioritise Public Transport

Conference Proceeding
Plötz, P., Wittpohl, M., & Urquhart, N. (2021)
Real Time Optimisation of Traffic Signals to Prioritise Public Transport. In Applications of Evolutionary Computation: 24th International Conference, EvoApplications 2021 (162-177). https://doi.org/10.1007/978-3-030-72699-7_11
This paper examines the optimisation of traffic signals to prioritise public transportation (busses) in real time. A novel representation for the traffic signal prioritisation...

Automated, Explainable Rule Extraction from MAP-Elites archives

Conference Proceeding
Urquhart, N., Höhl, S., & Hart, E. (2021)
Automated, Explainable Rule Extraction from MAP-Elites archives. In Applications of Evolutionary Computation: 24th International Conference, EvoApplications 2021. , (258-272). https://doi.org/10.1007/978-3-030-72699-7_17
Quality-diversity(QD) algorithms that return a large archive of elite solutions to a problem provide insights into how high-performing solutions are distributed throughout a f...

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