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Urquhart, N. B. Solving Real-World Routing Problems using Evolutionary Algorithms and Multi-Agent-Systems. (Thesis)
This thesis investigates the solving of routing problems using Evolutionary Algorithms (EAs). Routing problems are known to be hard and may possess complex search spaces. Evol...
Urquhart, N. (2017, November). What can we learn from simulating commuters?. Presented at U!REKA, Edinburgh
Commuting affects just about every member of the workforce in the UK, those who do not commute are affected by the congestion and pollution generated by such activities. There...
Urquhart, N. B. (2011, April). Using emissions model with EAs. Paper presented at YoungOR 17, Nottingham, UK
Scottish Funding Council
The project will examine the manner in which a scheduling/timetabling system can be enhanced by having classifying users into types and then using problem templates matched to type to guide the user.
An SFC Innovation Voucher being used to fund a feasibility study examining the use of heuristics to optimize food collection and delivery.
Forestry Commission Scotland
Use the ITED system to search literature based observations about the chemical extractive components of both broadleaf and conifer tree species commonly grown in the UK.
Chemically, wood structure ma...
Urquhart, N. B. (2010, January). Using real-world geospatial data with evolutionary algorithms. Paper presented at Universities' Transport Study Group, Plymouth, UK
Developments in the field of Geographical Information Systems (GIS) have increased the availability of on-line road network data and associated routing services. The ability t...
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, Glasgow
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...
Urquhart, N. B. (2005, January). Optimising despatch times in a supermarket delivery system. Paper presented at Universities Transport Study Group 2005, Bristol, UK
Urquhart, N. B. (2004, January). Supporting the teaching of Java using surgeries. Paper presented at LTSN 1 day conference on the teaching of programming., Birmingham
Urquhart, N., Hutcheson, W., & Hoehl, S. SICSA Demofest 2018 - Supporting user choice in optimisation. 6 November 2018 - 6 November 2018. (Unpublished)
Many complex optimisation problems can have multiple solutions, techniques such as MAP –Elites will produce a large number of solutions from which the user should make the fi...
Andras, P., Esterle, L., Guckert, M., Anh Han, T., Lewis, P. R., Milanovic, K., …Wells, S. (in press). Trusting Intelligent Machines. IEEE technology & society magazine,
Farrenkopf, T., Guckert, M., Urquhart, N., & Wells, S. (2016). Ontology Based Business Simulations. Journal of Artificial Societies and Social Simulation, 19(4), doi:10.18564/jasss.3266
Within business games there is a need to provide realistic feedback for decisions made, if such business games are to continue to remain relevant in increasingly complex busin...
Mouchet, C., Urquhart, N., & Kemmer, R. (2013). Techniques for Auditing the ICT Carbon Footprint of an Organisation. International Journal of Green Computing, 5(1), (44-61). doi:10.4018/ijgc.2014010104. ISSN 1948-5018
This article has presents an extensive survey of the state of the art in Green IT/S. The findings of the survey suggest that there is scope for a reliable carbon footprint aud...
(2012). S. Etaner-Uyar, E. Ozcan, & N. B. Urquhart (Eds.), Automated scheduling and planning; from theory to practice. Springer Verlag. doi:10.1007/978-3-642-39304-4
Al-Jassani, B. A., Urquhart, N. B. & Almaini, A. E. A. (2011). State assignment for sequential circuits using multi-objective genetic algorithm. IET Computers and Digital Techniques. 5, 296-305. doi:10.1049/iet-cdt.2010.0045. ISSN 1751-8601
In this study, a new approach using a multi-objective genetic algorithm (MOGA) is proposed to determine the optimal state assignment with less area and power dissipations for ...
Al-Jassani, B. A., Urquhart, N. B. & Almaini, A. E. A. (2007). Optimization of MPRM functions using tabular techniques and genetic algorithms. The Mediterranean journal of electronics and communications. 4, 115-125. ISSN 1744-2400
This paper presents new techniques and algorithms to compute and optimize Mixed Polarity Reed Muller logic functions (MPRM) using Tabular techniques and Genetic Algorithms (GA...
Urquhart, N. B. (2005). Building distribution networks using cooperative agents. In J. Rennard (Ed.), Handbook of Research on Nature Inspired Computing for Economics and Management, 465-482. Idea Group Reference. doi: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 t...
Analysis of transactional data provided by real time cloud based ordering systems linked within the food supply chain which targets Foodservice sector
I-POS produce an Intelligent Point of Sale application which runs on Apple iPad hardware for use in bars and restaurants. The application generates transaction based sales data and re-ordering data fr...
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...
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...
The realistic simulation of pedestrian movement is a challenging problem, a large number of individual pedestrians may be included in the s...
Neil Urquhart was awarded the Best Contribution to Information Society research theme award at the University Research Conference. Dr Urquhart has applied Artificial Intelligence methods based on evol...
23 July 2017
Dr Neil Urquhart has been elected to the management board of SPECIES (Society for the Promotion of Evolutionary Computing In Europe and its Surroundings). As well as promoting Evolutionary Computation...
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
CAVES Researchers awarded funding from The Data Lab.
6 January 2016
17:00-19:00 in room B2, Merchiston Camnpus
31 October 2018
14 January 2016
6 January 2016