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 Activity

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

 

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


63 results

Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation

Conference Proceeding
Hoffmann, B., Urquhart, N., Chalmers, K., & Guckert, M. (2020)
Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation
Multi-agent systems may be considered appropriate tools for simulating complex systems such as those based around traffic and transportation networks. Modelling traffic partic...

Using MAP-Elites to support policy making around Workforce Scheduling and Routing

Journal Article
Urquhart, N., Hart, E., & Hutcheson, W. (2020)
Using MAP-Elites to support policy making around Workforce Scheduling and Routing. Automatisierungstechnik, 68(2), https://doi.org/10.1515/auto-2019-0107
English abstract: Algorithms such as MAP-Elites provide a means of allowing users to explore a solution space by returning an archive of high-performing solutions. Such an arc...

An Illumination Algorithm Approach to Solving the Micro-Depot Routing Problem

Conference Proceeding
Urquhart, N., Hoehl, S., & Hart, E. (2019)
An Illumination Algorithm Approach to Solving the Micro-Depot Routing Problem. In GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. https://doi.org/10.1145/3321707.3321767
An increasing emphasis on reducing pollution and congestion in city centres combined with an increase in online shopping is changing the ways in which logistics companies addr...

Increasing Trust in Meta-Heuristics by Using MAP-Elites

Conference Proceeding
Urquhart, N., Guckert, M., & Powers, S. (2019)
Increasing Trust in Meta-Heuristics by Using MAP-Elites. In GECCO '19 Companion, (1345-1348). https://doi.org/10.1145/3319619.3326816
Intelligent AI systems using approaches containing emergent elements often encounter acceptance problems. Results do not get sufficiently explained and the procedure itself ca...

Simulating Dynamic Vehicle Routing Problems with Athos

Conference Proceeding
Hoffman, B., Guckert, M., Chalmers, K., & Urquhart, N. (2019)
Simulating Dynamic Vehicle Routing Problems with Athos. In Proceedings of the 33rd International ECMS Conference on Modelling and Simulation ECMS 2019, (296-302). https://doi.org/10.7148/2019-0296
Complex routing problems, such as vehicle routing problems with additional constraints, are both hard to solve and hard to express in a form that is accessible to the human ex...

An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems

Conference Proceeding
Urquhart, N., & Powers, S. T. (2019)
An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems. In PAAMS 2019: Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection: vol 1 – Main track and Demos proceedings, 285-289. https://doi.org/10.1007/978-3-030-24209-1_32
We present an agent based framework for improving multi-stakeholder optimisation problems, which we define as optimisation problems where the solution is utilised by a number ...

Simulating the actions of commuters using a multi-agent system

Journal Article
Urquhart, N., Powers, S., Wall, Z., Fonzone, A., Ge, J., & Polhill, G. (2019)
Simulating the actions of commuters using a multi-agent system. Journal of Artificial Societies and Social Simulation, 22(2), https://doi.org/10.18564/jasss.4007
The activity of commuting to and from a place of work affects not only those travelling but also wider society through their contribution to congestion and pollution. It is de...

Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem.

Conference Proceeding
Urquhart, N., Hart, E., & Hutcheson, W. (2019)
Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem. In EvoApplications 2019: Applications of Evolutionary Computation, 49-63. https://doi.org/10.1007/978-3-030-16692-2_4
Quality-diversity algorithms such as MAP-Elites provide a means of supporting the users when finding and choosing solutions to a problem by returning a set of solutions which ...

Athos - A Model Driven Approach to Describe and Solve Optimisation Problems

Conference Proceeding
Hoffman, B., Chalmers, K., Urquhart, N., & Guckert, M. (2019)
Athos - A Model Driven Approach to Describe and Solve Optimisation Problems. https://doi.org/10.1145/3300111.3300114
Implementing solutions for optimisation problems with general purpose high-level programming languages is a time consuming task that can only be carried out by professional so...

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems

Journal Article
Andras, P., Esterle, L., Guckert, M., Anh Han, T., Lewis, P. R., Milanovic, K., …Wells, S. (2018)
Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. IEEE technology & society magazine, 37(4), 76-83. https://doi.org/10.1109/MTS.2018.2876107
Intelligent machines have reached capabilities that go beyond a level that a human being can fully comprehend without sufficiently detailed understanding of the underlying mec...

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