All Outputs (5)

An investigation of tuning a memetic algorithm for cross-domain search (2016)
Conference Proceeding

Memetic algorithms, which hybridise evolutionary algorithms with local search, are well-known metaheuristics for solving combinatorial optimisation problems. A common issue with the application of a memetic algorithm is determining the best initial s... Read More about An investigation of tuning a memetic algorithm for cross-domain search.

An analysis of the Taguchi method for tuning a memetic algorithm with reduced computational time budget (2016)
Conference Proceeding

Determining the best initial parameter values for an algorithm, called parameter tuning, is crucial to obtaining better algorithm performance; however, it is often a time-consuming task and needs to be performed under a restricted computational budge... Read More about An analysis of the Taguchi method for tuning a memetic algorithm with reduced computational time budget.

The importance of considering pushback time and arrivals when routing departures on the ground at airports (2016)
Conference Proceeding

With the constant increase in air traffic, airports are facing capacity problems. Many airports are increasingly interested in utilising optimisation methods for specific airport processes. However, many such processes do happen in parallel, and maxi... Read More about The importance of considering pushback time and arrivals when routing departures on the ground at airports.

Evaluation of advanced receiver autonomous integrity monitoring performance on predicted aircraft trajectories (2016)
Conference Proceeding

The development of new GNSS constellations, and the modernization of existing ones, has increased the availability and the number of satellites-in-view, paving the way for new navigation algorithms and techniques. These offer the opportunity to impro... Read More about Evaluation of advanced receiver autonomous integrity monitoring performance on predicted aircraft trajectories.

Constrained portfolio optimisation: the state-of-the-art Markowitz models (2016)
Conference Proceeding

This paper studies the state-of-art constrained portfolio optimisation models, using exact solver to identify the optimal solutions or lower bound for the benchmark instances at the OR-library with extended constraints. The effects of pre-assignment,... Read More about Constrained portfolio optimisation: the state-of-the-art Markowitz models.