Demo paper: AGADE - Scalability of ontology based agent simulations
Conference Proceeding
Farrenkopf, T., Guckert, M., Urquhart, N. B., & Wells, S. (2016)
Demo paper: AGADE - Scalability of ontology based agent simulations. In Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection (256-259). https://doi.org/10.1007/978-3-319-39324-7_25
Simulations of real world scenarios often require considerably
large numbers of agents. With increasing level of detail and resolution
in the underlying models machine limitat...
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 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...
Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts
Conference Proceeding
Urquhart, N. (2018)
Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts. In Applications of Evolutionary Computation, (523-537). https://doi.org/10.1007/978-3-319-77538-8_36
EvoFilter is an evolutionary algorithm based tool for searching through large non-dominated fronts in order to find a subset of solutions that are of interest to the user. Ev...
Incorporating emissions models within a multi-objective vehicle routing problem.
Conference Proceeding
Urquhart, N. B., Scott, C., & Hart, E. (2013)
Incorporating emissions models within a multi-objective vehicle routing problem. In C. Blum (Ed.), GECCO'13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation (193-194). https://doi.org/10.1145/2464576.2464663
The vehicle routing problem with time windows (VRPTW) has previously been investigated as a multi-objective problem. In this paper estimated carbon emissions is added as an ob...
Evolving solution choice and decision support for a real-world optimisation problem
Conference Proceeding
Urquhart, N., & Fonzone, A. (2017)
Evolving solution choice and decision support for a real-world optimisation problem. In Proceedings of the Genetic and Evolutionary Computation Conference 2017. , (1264-1271). https://doi.org/10.1145/3071178.3071207
Agencies who provide social care services typically have to optimise staff allocations and the travel whilst attempting to satisfy conflicting objectives. In such cases it i...
Carbon-friendly travel plan construction using an evolutionary algorithm
Conference Proceeding
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). https://doi.org/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...
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. , (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...
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...
Multi-Modal employee routing with time windows in an urban environment.
Conference Proceeding
Urquhart, N. B., Hart, E., & Judson, A. (2015)
Multi-Modal employee routing with time windows in an urban environment. In Proceedings of the 2015 Genetic and Evolutionary Algorithms Conference (1503-1504). https://doi.org/10.1145/2739482.2764649
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 ...