Research profile
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Software Technology · Optimisation · Machine Learning

Kevin
Sim

Dr Kevin Sim

About

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 Edinburgh Napier University. His PhD, also from Edinburgh Napier University (October 2014), explored the use of hyper-heuristics as a method of providing high quality solutions to optimisation problems.

He is currently employed as a research fellow working on a project entitled Real World Optimisation with Life-Long Learning, funded by . His research interests lie in the field of biologically inspired computing and machine learning, with an emphasis on hyper-heuristics applied to real world Latest posts:problems including logistics, modelling and optimisation.

Latest posts:


Selected work

Publications

2015

Sim, K., Hart, E., Urquhart, N., Pigden, T. (2015). A new rich vehicle routing problem model and benchmark resource. In: Proceedings of the The 11th edition of the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2015).

Sim, K., Hart, E. (2015). A Novel Heuristic Generator for JSSP Using a Tree-Based Representation of Dispatching Rules. In: Proceedings GECCO 2015 Companion. ACM Association for Computing Machinery.

2014

Hart, E., Sim, K., Paechter, B. (2014). A Lifelong Learning Hyper-heuristic Method for Bin Packing. Evolutionary Computation (to appear).

Hart, E., Sim, K., Urquhart, N. (2014). A Real-World Employee Scheduling and Routing Application. In: GECCO Comp '14 Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion. (pp. 1239-1242). ACM Digital Library.

Hart, E., Sim, K. (2014). On the life-long learning capabilities of a NELLI: a hyper-heuristic optimisation system. In: Proceedings of PPSN, 13th International Conference on Parallel problem Solving from Nature. Springer.

Sim, K., Hart, E. (2014). An Improved Immune Inspired Hyper-Heuristic for Combinatorial Optimisation Problems. In: Proceedings of GECCO 2014 (Genetic and Evolutionary Computation Conference). ACM Digital Library.

2013

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. (Ed.) Proceedings of GECCO 2013. ACM SIGEVO.

Sim, K., Hart, E., Paechter, B. (2013). Learning to Solve Bin Packing Problems with an Immune Inspired Hyper-heuristic. In: Proceedings of ECAL 2013 - 12th European Conference on Artificial Life. MIT Press.

2012

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