Outputs (8)

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems (2018)
Journal Article
Andras, P., Esterle, L., Guckert, M., Anh Han, T., Lewis, P. R., Milanovic, K., …Wells, S. (2018). Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. IEEE technology & society magazine, 37(4), 76-83. https://doi.org/10.1109/MTS.2018.2876107

Intelligent machines have reached capabilities that go beyond a level that a human being can fully comprehend without sufficiently detailed understanding of the underlying mechanisms. The choice of moves in the game Go (generated by Deep Mind?s Alpha... Read More about Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems.

SICSA Demofest 2018 - Supporting user choice in optimisation. (2018)
Exhibition / Performance
Urquhart, N., Hutcheson, W., & Hoehl, S. SICSA Demofest 2018 - Supporting user choice in optimisation. Exhibited at Our Dynamic Earth, Edinburgh. 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 (Unpublished)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 final choice. That final choice may be based on a number of soft criteria for... Read More about SICSA Demofest 2018 - Supporting user choice in optimisation..

Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites (2018)
Conference Proceeding
Urquhart, N., & Hart, E. (2018). Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites. In Parallel Problem Solving from Nature – PPSN XV 15th International Conference, Coimbra, Portugal, September 8–12, 2018, Proceedings, Part I. https://doi.org/10.1007/978-3-319-99253-2_39

Workforce Scheduling and Routing Problems (WSRP) are very common in many practical domains, and usually have a number of objectives. Illumination algorithms such as Map-Elites (ME) have recently gained traction in application to design problems, in p... Read More about Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites.

A new rich vehicle routing problem model and benchmark resource (2018)
Conference Proceeding
Sim, K., Hart, E., Urquhart, N. B., & Pigden, T. (2018). A new rich vehicle routing problem model and benchmark resource. In Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. https://doi.org/10.1007/978-3-319-89988-6_30

We describe a new rich VRP model that captures many real-world constraints, following a recently proposed taxonomy that addresses both scenario and problem physical characteristics. The model is used to generate 4800 new instances of rich VRPs which... Read More about A new rich vehicle routing problem model and benchmark resource.

Creating optimised employee travel plans (2018)
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 than one travel option, e.g. public transport or car. In this paper we examin... Read More about Creating optimised employee travel plans.

Towards reducing complexity of multi-agent simulations by applying model-driven techniques (2018)
Conference Proceeding
Hoffman, B., Chalmers, K., Urquhart, N., Farrenkopf, T., & Guckert, M. (2018). Towards reducing complexity of multi-agent simulations by applying model-driven techniques. In Y. Demazeau, B. An, J. Bajo, & A. Fernández-Caballero (Eds.), Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018 (187-199). https://doi.org/10.1007/978-3-319-94580-4_15

Creating multi-agent simulations is a challenging task often requiring programming skills at the professional software developer level. Model driven methods of software development are an appropriate tool for reducing the complexity of the developmen... Read More about Towards reducing complexity of multi-agent simulations by applying model-driven techniques.

A Domain-Specific Language For Routing Problems (2018)
Conference Proceeding
Hoffmann, B., Hoffman, B., Guckert, M., Farrenkopf, T., Chalmers, K., & Urquhart, N. (2018). A Domain-Specific Language For Routing Problems. In L. Nolle, A. Burger, C. Tholen, J. Werner, & J. Wellhausen (Eds.), Proceedings of the 32nd EUROPEAN CONFERENCE ON MODELLING AND SIMULATION. https://doi.org/10.7148/2018-0262

Vehicle Routing Problems (VRPs) are commonly used as benchmark optimisation problems and they also have many applications in industry. Using agent-based approaches to solve VRPs allows the analysis of dynamic VRP instances that incorporate congestion... Read More about A Domain-Specific Language For Routing Problems.

Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts (2018)
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. EvoFilter is designed to take the output of existing Multi Objective Evolutio... Read More about Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts.