Kevin Sim

Research Fellow

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I graduated from Edinburgh Napier University in 2008 with a first class degree in Software Technology before completing an MSc in Advanced Software Engineering the following year. I am currently working as a Research Fellow on an ESPRC funded project entitled Real World Optimisation with Life Long Learning under the guidance of Professor Emma Hart. I am also studying towards a PhD in the field of Hyper-heuristics using biologically inspired computing techniques to autonomously generate and select heuristics in the domain of one dimensional bin packing.
 
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  • Optimisation
    Optimisation
    In our increasingly global economy, companies are under pressure to optimise their activities in order to gain a competitive edge or to even remain sustainable. our optimisation research specialises in developing state-of-the-art algorithms that are capable of obtaining solutions to complex...
  • Software Engineering
    Software Engineering
    The institute's expertise in software engineering encompasses the entire development lifecycle, and we focus on the approaches and tools to improve the engineering process of both emerging and widely used software systems. Increasing the productivity and improving the quality of software remains a...
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K.Sim@napier.ac.uk

+44 (0)131 455 2497

Room c44
Merchiston Campus
10 Colinton Road
Edinburgh
EH10 5DT

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    Recent Projects

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    PhD Project Involvement

    Student
    Kevin Sim (PhD 2010-)
    A hyper heuristic approach to optimisation. Hyper-heuristics (HH) have been described as methodologies that aim to offer “good enough -soon enough - cheap enough” solutions to real world problems.
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    Recent Publications

    Sim, K., Hart, E. (2013). Generating Single and Multiple Cooperative Heuristics for the One Dimensional Bin Packing Problem Using a Single Node Genetic Programming Island Model. In: Alba, E., al, e. (Eds.) Proceedgs of GECCO 2013, , () ( ed.). (pp. ). : . ACM SIGEVO.

    Sim, K., Hart, E., Paechter, B. (2012). A Hyper-Heuristic Classifier for One Dimensional Bin Packing Problems: Improving Classification Accuracy by Attribute Evolution. In: (Ed.) Parallel Problem Solving from Nature: PPSN XII, Lecture Notes in Computer Science, 7492, () ( ed.). (pp. 348-357). Taormina: . Springer Verlag.

    Resources

    Keywords: evolutionary computing, hyper-heuristics, optimisation