Now showing items 1-5 of 5

  • A holistic metric approach to solving the dynamic location-allocation problem. 

    Ankrah, Reginald; Lacroix, Benjamin; McCall, John; Hardwick, Andrew; Conway, Anthony (Springer https://doi.org/10.1007/978-3-030-04191-5_35, 2018-11-16)
    ANKRAH, R., LACROIX, B., MCCALL, J., HARDWICK, A. and CONWAY, A. 2018. A holistic metric approach to solving the dynamic location-allocation problem. In Bramer, M. and PETRIDIS, M. (eds.) Artificial intelligence xxxv: proceedings of the 38th British Computer Society's specialist group on artificial intelligence (SGAI) annual international artificial intelligence conference (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in artificial intelligence, 11311. Cham: Springer [online], pages 433-439. Available from: https://doi.org/10.1007/978-3-030-04191-5_35
    In this paper, we introduce a dynamic variant of the Location-Allocation problem: Dynamic Location-Allocation Problem (DULAP). DULAP involves the location of facilities to service a set of customer demands over a defined ...
  • Introducing the dynamic customer location-allocation problem. 

    Ankrah, Reginald; Lacroix, Benjamin; McCall, John; Hardwick, Andrew; Conway, Anthony
    ANKRAH, R., LACROIX, B., MCCALL, J., HARDWICK, A. and CONWAY, A. [2019]. Introducing the dynamic customer location-allocation problem. In Proceedings of the 2019 Institute of Electrical and Electronics Engineers (IEEE) Congress on evolutionary computation (IEEE CEC 2019), 10-13 June 2019, Wellington, NZ. Piscataway: IEEE [online], (accepted).
    In this paper, we introduce a new stochastic Location-Allocation Problem which assumes the movement of customers over time. We call this new problem Dynamic Customer Location-Allocation Problem (DC-LAP). The problem is ...
  • Iterated racing algorithm for simulation-optimisation of maintenance planning. 

    Lacroix, Benjamin; McCall, John; Lonchampt, Jérôme (IEEE https://doi.org/10.1109/CEC.2018.8477843, 2018-07-08)
    LACROIX, B., MCCALL, J. and LONCHAMPT, J. 2018. Iterated racing algorithm for simulation-optimisation of maintenance planning. In Proceedings of the Institute of Electrical and Electronics Engineers (IEEE) congress on evolutionary computation 2018 (CEC 2018), 8-13 July 2018, Rio de Janeiro, Brazil. New York: IEEE [online], pages 1-7. Available from: https://doi.org/10.1109/CEC.2018.8477843
    The purpose of this paper is two fold. First, we present a set of benchmark problems for maintenance optimisation called VMELight. This model allows the user to define the number of components in the system to maintain and ...
  • Region-based memetic algorithm with archive for multimodal optimsation. 

    Lacroix, Benjamin; Molina, Daniel; Herrera, Francisco (Elsevier https://dx.doi.org/10.1016/j.ins.2016.05.049, 2016-06-02)
    LACROIX, B., MOLINA, D. and HERRERA, F. 2016. Region-based memetic algorithm with archive for multimodal optimsation. Information sciences [online], 367-368, pages 719-746. Available from: https://dx.doi.org/10.1016/j.ins.2016.05.049
    In this paper we propose a specially designed memetic algorithm for multimodal optimisation problems. The proposal uses a niching strategy, called region-based niching strategy, that divides the search space in predefined ...
  • Simulation and optimisation of the separation process in offshore oil and gas platforms. 

    Veleshki, Stoyan Ivanov (Robert Gordon University School of Computing Science and Digital Media, 2017-10-01)
    VELESHKI, S. 2017. Simulation and optimisation of the separation process in offshore oil and gas platforms. Robert Gordon University, MRes thesis.
    Hydrocarbon separation in offshore oil and gas platforms is the process that transforms extracted crude oil into transportable oil and gas. Temperatures and pressures of the separation system can be adjusted to modify the ...