Using MAP-Elites to support policy making around Workforce Scheduling and Routing (2020)
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 archive, can allow the user an overview of the solution space which may be use... Read More about Using MAP-Elites to support policy making around Workforce Scheduling and Routing.

Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem. (2019)
Presentation / Conference Contribution
Urquhart, N., Hart, E., & Hutcheson, W. (2019, April). Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem. Presented at EvoStar2019: International Conference on the Applications of Evolutionary Computation, Leipzig

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 are diverse according to set of user-defined features. The number of soluti... Read More about Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem..

AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks (2017)
Presentation / Conference Contribution
Rotärmel, S., Farrenkopf, T., Guckert, M., & Urquhart, N. (2017, June). AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks. Presented at Practical Applications of Agents and Multi-Agent Systems, Porto, Portugal

AGADE-TRAFFIC is a tool for simulating traffic flow in networks. Traffic participants are modelled as NetLogo agents and are visualised in a graphical user interface. Geographic information is stored in a graph database and AGADE-TRAFFIC communicates... Read More about AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks.

Manipulation and optimization techniques for Boolean logic (2010)
Journal Article
Al-Jassani, B. A., Urquhart, N. B., & Almaini, A. E. A. (2010). Manipulation and optimization techniques for Boolean logic. IET computers & digital techniques / IET, 4, 227-239. https://doi.org/10.1049/iet-cdt.2009.0007

In this study, new techniques and algorithms are presented for the derivation and optimisation of mixed polarity Reed Muller (MPRM) and mixed polarity dual Reed Muller (MPDRM) functions. The first algorithm is used for bidirectional conversion betwee... Read More about Manipulation and optimization techniques for Boolean logic.

An application of CoSMoS design methods to pedestrian simulation. (2009)
Presentation / Conference Contribution
Clayton, S., Urquhart, N., & Kerridge, J. (2009, November). An application of CoSMoS design methods to pedestrian simulation. Presented at 32nd Communicating Process Architectures Conference, CPA 2009, Eindhoven, The Netherlands

In this paper, we discuss the implementation of a simple pedestrian simulation that uses a multi agent based design pattern developed by the CoSMoS research group. Given the nature of Multi Agent Systems (MAS), parallel processing techniques are inev... Read More about An application of CoSMoS design methods to pedestrian simulation..

Application of CoSMoS parallel design patterns to a pedestrian simulation. (2009)
Presentation / Conference Contribution
Clayton, S., Urquhart, N. B., & Kerridge, J. (2009, September). Application of CoSMoS parallel design patterns to a pedestrian simulation. Presented at International Conference on Parallel Processing and Applied Mathematics PPAM 2009: Parallel Processing and Applied Mathematics

In this paper, we discuss the implementation of a simple pedestrian simulation that uses a multi agent based design pattern developed by the CoSMoS research group. Given the nature of Multi Agent Systems (MAS), parallel processing techniques are inev... Read More about Application of CoSMoS parallel design patterns to a pedestrian simulation..

Minimization of incompletely specified mixed polarity Reed Muller functions using genetic algorithm. (2009)
Presentation / Conference Contribution
Al-Jassani, B. A., Urquhart, N. B., & Almaini, A. E. A. (2009, November). Minimization of incompletely specified mixed polarity Reed Muller functions using genetic algorithm. Presented at 3rd IEEE international conference on Signal Circuits and Systems

A New and efficient Genetic Algorithm (GA) based approach is presented to minimise the number of terms of Mixed Polarity Reed Muller (MPRM) single and multi output incompletely specified Boolean functions. The algorithm determines the allocation of d... Read More about Minimization of incompletely specified mixed polarity Reed Muller functions using genetic algorithm..

CO2Y the intelligent green solution: minimising carbon emissions by maximising shared travel opportunity. (2009)
Presentation / Conference Contribution
Urquhart, N. B., McEwan, T., Holden, R., & Vogogias, T. (2009, May). CO2Y the intelligent green solution: minimising carbon emissions by maximising shared travel opportunity. Paper presented at Scottish Transport Applications Research Conference

It is in the interests of everybody that the environment is protected. In view of the recent leaps in environmental awareness it would seem timely and sensible, therefore, for people to pool vehicle resources to minimise the damaging impact of emissi... Read More about CO2Y the intelligent green solution: minimising carbon emissions by maximising shared travel opportunity..

Building distribution networks using cooperative agents. (2006)
Book Chapter
Urquhart, N. B. (2006). Building distribution networks using cooperative agents. In J.-P. Rennard (Ed.), Handbook of Research on Nature Inspired Computing for Economics and Management (465-482). Idea Group Reference. https://doi.org/10.4018/978-1-59140-984-7.ch037

This chapter examines the use of emergent computing to optimize solutions to logistics problems. The chapter initially explores the use of agents and evolutionary algorithms to optimize postal distribution networks. The structure of the agent communi... Read More about Building distribution networks using cooperative agents..