All Outputs (4)

On the life-long learning capabilities of a NELLI*: a hyper-heuristic optimisation system. (2014)
Conference Proceeding
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 (282-291). https://doi.org/10.1007/978-3-319-10762-2_28

Real-world applications of optimisation techniques place more importance on finding approaches that result in acceptable quality solutions in a short time-frame and can provide robust solutions, capable of being modified in response to changes in the... Read More about On the life-long learning capabilities of a NELLI*: a hyper-heuristic optimisation system..

Novel Hyper-heuristics Applied to the Domain of Bin Packing (2014)
Thesis
Sim, K. Novel Hyper-heuristics Applied to the Domain of Bin Packing. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/id/eprint/7563

Principal to the ideology behind hyper-heuristic research is the desire to increase the level of generality of heuristic procedures so that they can be easily applied to a wide variety of problems to produce solutions of adequate quality within pract... Read More about Novel Hyper-heuristics Applied to the Domain of Bin Packing.

A real-world employee scheduling and routing application. (2014)
Conference Proceeding
Hart, E., Sim, K., & Urquhart, N. B. (2014). A real-world employee scheduling and routing application. In C. Igel (Ed.), GECCO 2014 Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation (1239-1242). https://doi.org/10.1145/2598394.2605447

We describe a hyper-heuristic application developed for a client to find quick, acceptable solutions to Workforce Schedul- ing and Routing problems. An interactive fitness function controlled by the user enables five different objectives to be weight... Read More about A real-world employee scheduling and routing application..

An improved immune inspired hyper-heuristic for combinatorial optimisation problems. (2014)
Conference Proceeding
Sim, K., & Hart, E. (2014). An improved immune inspired hyper-heuristic for combinatorial optimisation problems. In C. Igel (Ed.), Proceedings of GECCO 2014 (Genetic and Evolutionary Computation Conference) (121-128). https://doi.org/10.1145/2576768.2598241

The meta-dynamics of an immune-inspired optimisation sys- tem NELLI are considered. NELLI has previously shown to exhibit good performance when applied to a large set of optimisation problems by sustaining a network of novel heuristics. We address th... Read More about An improved immune inspired hyper-heuristic for combinatorial optimisation problems..