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Urquhart, N. B., Scott, C., & Hart, E. (2013). Using graphical information systems to improve vehicle routing problem instances. In C. Blum (Ed.), GECCO'13 Companion, (1097-1102). https://doi.org/10.1145/2464576.2466802
This paper makes the assertion that vehicle routing rearch has produced increasingly more powerful problem solvers, but has not increased the realism or compexity of typical p...
Urquhart, N. B. (2011). Planning and optimising organisational travel plans using an evolutionary algorithm. In C. Chio, A. Brabazon, G. A. Caro, R. Drechsler, M. Farooq, J. Grahl, …G. Squillero (Eds.), Applications of Evolutionary Computation, 464-470. https://doi.org/10.1007/978-3-642-20520-0_47
Commuting to the workplace is a highly individualistic experience, especially where the private car is the chosen mode of transport. The costs of using cars with low occupancy...
Urquhart, N. B., Scott, C., & Hart, E. (2010). Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem. In C. Chio, A. Brabazon, G. A. Di Caro, M. Ebner, M. Farooq, A. Fink, …N. Urquhart (Eds.), Applications of evolutionary computation : EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part II, 421-430. https://doi.org/10.1007/978-3-642-12242-2_43
This paper examines the issues surrounding the effects of using vehicle emissions as the fitness criteria when solving routing problems using evolutionary techniques. The case...
Scottish Funding Council
Focusing on the IT aspects of sound recognition and analysis. The product will be used to monitor the players playing golf shots using a mixture of location, wi-fi and sounds technologies. Through us...
A demonstrator has been created which showcases a ranking algorithm and availability matching.
Currently discussions are ongoing regarding a follow on project.
Workshop style sessions were held with Avant Garde, their work so far was reviewed and issues relating to performance were examined. We were able to make specific suggestions to address a number of i...
Scott, C., Urquhart, N. B., & Hart, E. (2010). Influence of topology and payload on CO2 optimised vehicle routing. In Applications of Evolutionary Computing, 141-150. https://doi.org/10.1007/978-3-642-12242-2_15
This paper investigates the influence of gradient and payload correction factors used within a CO2 emission model on the solutions to shortest path and travelling salesman pro...
Urquhart, N. B., Hart, E., & Scott, C. (2010). Building low CO2 solutions to the vehicle routing problem with time windows using an evolutionary algorithm. In IEEE Congress on Evolutionary Computationhttps://doi.org/10.1109/CEC.2010.5586088
An evolutionary Multi-Objective Algorithm (MOA) is used to investigate the trade-off between CO2 savings, distance and number of vehicles used in a typical vehicle routing pro...
Al-Jassani, B. A., Urquhart, N. B., & Almaini, A. E. A. (2009). Minimization of incompletely specified mixed polarity Reed Muller functions using genetic algorithm. https://doi.org/10.1109/12.67320
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 incompletel...
Urquhart, N. B., & Urquhart, N. B. (2007). Carbon-friendly travel plan construction using an evolutionary algorithm. In H. Lipson (Ed.), GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2269. doi:10.1145/1276958.1277404
This paper discusses the use of an evolutionary algorithm to design workplace travel plans, to promote car sharing and reduce carbon emissions from single-occupancy motor veh...
Urquhart, N. B., Hart, E. & Judson, A. (2014). Multi-Modal employee routing with time windows in an urban environment. In Proceedings of the 2015 Genetic and Evolutionary Algorithms Conference, 1503-1504. doi:10.1145/2739482.2764649. ISBN 978-1-4503-3488-4
An urban environment provides a number of challenges and opportunities
for organisations faced with the task of scheduling a mobile
workforce. Given a mixed set of public and ...
This project is being undertaken in collaboration with McQueens Dairies. The principle aim is investigate the optimisation of drop-off points within milk rounds. The project will establish a suitable...
This project undertook the following tasks:
1) An analysis of the existing work flow within the energy audit process used by esave on behalf of their clients.
2) The specification and design of a...
The project looked at using optimisation techniques to plan business travel (i.e. journey sharing) and reduce its environmental impact.
Both soft constraints (personal preferences) and hard const...
Members of the CAVES research group have 3 papers accepted at the world's leading conference on Evolutionary Computing. GECCO 2017 will be held in Berlin from 15-19th July 2017.
14 July 2017
14 January 2016
6 January 2016