Kevin Sim

Lecturer

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Dr. Kevin Sim gained a 1st Class Honours Degree in Software Technology in 2009 and an MSc in Advanced Software Engineering in 2010, both from from Edinburgh Napier University. His PhD, also from the Edinburgh Napier University (October 2014), explored the use of hyper-heuristics as a method of providing high quality solutions to optimisation problems

Before commencing his current employment as a lecturer in computing science he worked for 3 years as a research fellow working on an EPSRC funded project entitled Real World Optimisation with Life-Long Learning. His research interests lie in the field of biologically inspired computing and machine learning, with an emphasis on hyper-heuristics applied to real world problems including logistics, modelling and optimisation.
 
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Areas of Expertise link icon

  • Bio-inspired Computing
    The Bio-Inspired Algorithms group within the Centre for Algorithms, Visualisation and Evolving Systems is a large and thriving group with interests in nature-inspired computing that include Evolutionary Computing, Hyper-Heuristics, Artificial Immune Systems and Swarm Intelligence.
  • Software Systems
    The institute's expertise in software engineering encompasses the entire development lifecycle, and we focus on developing the approaches and tools to improve the engineering process of both emerging and widely used software systems.
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K.Sim@napier.ac.uk

+44 (0)131 455 2497

Room c65
Merchiston Campus
10 Colinton Road
Edinburgh
EH10 5DT

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    Recent Projects

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    PhD Project Involvement

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    Recent Publications

    Hart, E., Sim, K. (2016). A Hyper-Heuristic Ensemble Method for Static Job-shop Scheduling. Evolutionary Computation, (pre-print, accepted for publication May 2016), (), .

    Sim, K., Hart, E. (2016). A Combined Generative and Selective Hyper-heuristic for the Vehicle Routing Problem. In: (Ed.) Proceedings go GECCO 2016, , () ( ed.). (pp. ). : . ACM.

    Hart, E., Sim, K., Paechter, B. (2015). A Lifelong Learning Hyper-heuristic Method for Bin Packing. Evolutionary Computation, 23, (1), 37-67.

    Hart, E., Sim, K. (2015, ). A Research Agenda for Metaheuristic Standardization. Paper presented at 11th Metaheuristics International Conference, Agadir.

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    Supervised dissertations

    Blades, A. (2017). Machine Learning for Algorithm Selection (BEng (Hons) Software Engineering Dissertation). Edinburgh Napier University (Hart, E., Sim, K.).

    Resources