Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation
Conference Proceeding
Hoffmann, B., Urquhart, N., Chalmers, K., & Guckert, M. (2020)
Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation
Multi-agent systems may be considered appropriate tools for simulating complex systems such as those based around traffic and transportation networks. Modelling traffic partic...
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...
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...
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 ...
Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem.
Conference Proceeding
Urquhart, N., Hart, E., & Hutcheson, W. (2019)
Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem. In EvoApplications 2019: Applications of Evolutionary Computation, 49-63. https://doi.org/10.1007/978-3-030-16692-2_4
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 ...
Creating optimised employee travel plans
Conference Proceeding
Urquhart, N., & Hart, E. (2019)
Creating optimised employee travel plans. In Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. , (489-502). https://doi.org/10.1007/978-3-319-89988-6_29
The routing of employees who provide services such as home health or social care is a complex problem. When sending an employee between two addresses , there may exist more th...
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...
Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem
Conference Proceeding
Urquhart, N. (2017)
Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem. In GECCO ’17 Companion, B (1335-1340). https://doi.org/10.1145/3067695.3082485
Optimisation problems based upon real-world instances often contain many objectives. Many existing Multi-Objective Evolutionary Algorithm techniques return a set of solutions ...
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...