An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems
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 Dynamic Vehicle Routing Problems with Athos
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...
Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem
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...
An Illumination Algorithm Approach to Solving the Micro-Depot Routing Problem
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. , (1347-1355). 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...
Using graphical information systems to improve vehicle routing problem instances.
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...
Increasing Trust in Meta-Heuristics by Using MAP-Elites
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...
Minimization of incompletely specified mixed polarity Reed Muller functions using genetic algorithm.
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...
Planning and optimising organisational travel plans using an evolutionary algorithm.
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...
Using MAP-Elites to support policy making around Workforce Scheduling and Routing
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...
Influence of topology and payload on CO2 optimised vehicle routing.
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...