Outputs (7)

A scheme for determining vehicle routes based on Arc-based service network design (2016)
Journal Article
Jiang, X., Bai, R., Atkin, J., & Kendall, G. (2017). A scheme for determining vehicle routes based on Arc-based service network design. Information Systems and Operational Research, 55(1), 16-37. https://doi.org/10.1080/03155986.2016.1262580

In freight transportation, less-than-truckload carriers often need to assign each vehicle a cyclic route so that drivers can come back home after a certain period of time. However, the Node-Arc model for service network design addresses decisions on... Read More about A scheme for determining vehicle routes based on Arc-based service network design.

An investigation of tuning a memetic algorithm for cross-domain search (2016)
Presentation / Conference Contribution
Gumus, D. B., Özcan, E., & Atkin, J. (2016, July). An investigation of tuning a memetic algorithm for cross-domain search. Presented at 2016 IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada

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.

Towards a more realistic, cost effective and greener ground movement through active routing: a multi-objective shortest path approach (2016)
Journal Article
Chen, J., Weiszer, M., Locatelli, G., Ravizza, S., Atkin, J. A., Stewart, P., & Burke, E. (2016). Towards a more realistic, cost effective and greener ground movement through active routing: a multi-objective shortest path approach. IEEE Transactions on Intelligent Transportation Systems, 17(12), 3524-3540. https://doi.org/10.1109/TITS.2016.2587619

Based on the multi-objective optimal speed profile generation framework for unimpeded taxiing aircraft presented in the precursor paper, this paper deals with how to seamlessly integrate such optimal speed profiles into a holistic decision making fra... Read More about Towards a more realistic, cost effective and greener ground movement through active routing: a multi-objective shortest path approach.

An analysis of the Taguchi method for tuning a memetic algorithm with reduced computational time budget (2016)
Presentation / Conference Contribution
Gümüş, D. B., Özcan, E., & Atkin, J. (2016, October). An analysis of the Taguchi method for tuning a memetic algorithm with reduced computational time budget. Presented at ISCIS: International Symposium on Computer and Information Sciences, Krakow, Poland

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)
Presentation / Conference Contribution
Stergianos, C., Atkin, J., Schittekat, P., Nordlander, T. E., Gerada, C., & Morvan, H. The importance of considering pushback time and arrivals when routing departures on the ground at airports. Presented at 8th International Conference on Applied Operational Research (ICAOR 2016)

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.

A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty (2016)
Journal Article
Bayliss, C., De Maere, G., Atkin, J. A. D., & Paelinck, M. (2017). A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty. Annals of Operations Research, 252(2), 335-363. https://doi.org/10.1007/s10479-016-2174-8

© 2016, The Author(s). The environment in which airlines operate is uncertain for many reasons, for example due to the effects of weather, traffic or crew unavailability (due to delay or sickness). This work focuses on airline reserve crew scheduling... Read More about A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty.

Constrained portfolio optimisation: the state-of-the-art Markowitz models (2016)
Presentation / Conference Contribution
Jin, Y., Qu, R., & Atkin, J. Constrained portfolio optimisation: the state-of-the-art Markowitz models. Presented at The 2016 International Conference on Operations Research and Enterprise Systems

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.