All Outputs (37)

Enhanced Starting Control Scheme for PMM-Based Starter/Generator System for MEA (2023)
Journal Article
Mohamed, M. A. A., Shen Yeoh, S., Atkin, J., Diab, A. M., Khalaf, M., & Bozhko, S. (2023). Enhanced Starting Control Scheme for PMM-Based Starter/Generator System for MEA. Aerospace, 10(2), Article 168. https://doi.org/10.3390/aerospace10020168

A control approach for aircraft Starter/Generator (S/G) with Permanent Magnet Machine (PMM) operating in Flux Weakening (FW) mode is presented. The proposed strategy helps the previous approaches which are adopted for the Variable Voltage Bus (VVB) o... Read More about Enhanced Starting Control Scheme for PMM-Based Starter/Generator System for MEA.

An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms (2022)
Journal Article
Gümüş, D. B., Özcan, E., Atkin, J., & Drake, J. H. (2023). An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms. Information Sciences, 619, 153-171. https://doi.org/10.1016/j.ins.2022.11.008

Parameter tuning is a challenging and time-consuming task, crucial to obtaining improved metaheuristic performance. There is growing interest in cross-domain search methods, which consider a range of optimisation problems rather than being specialise... Read More about An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms.

Efficiency Focused Energy Management Strategy Based on Optimal Droop Gain Design for More Electric Aircraft (2022)
Journal Article
Mohamed, M. A., Yeoh, S. S., Atkin, J., Hussaini, H., & Bozhko, S. (2022). Efficiency Focused Energy Management Strategy Based on Optimal Droop Gain Design for More Electric Aircraft. IEEE Transactions on Transportation Electrification, 8, 4205-4218. https://doi.org/10.1109/tte.2022.3159731

Due to the substantial increase of the number of electrically-driven systems on-board More Electric Aircraft (MEA), the on-board Electric Power Systems (EPS) are becoming more and more complex. Therefore, there is a need to develop a control strategy... Read More about Efficiency Focused Energy Management Strategy Based on Optimal Droop Gain Design for More Electric Aircraft.

Scheduling airline reserve crew using a probabilistic crew absence and recovery model (2019)
Journal Article
Bayliss, C., De Maere, G., Atkin, J. A., & Paelinck, M. (2020). Scheduling airline reserve crew using a probabilistic crew absence and recovery model. Journal of the Operational Research Society, 71(4), 543-565. https://doi.org/10.1080/01605682.2019.1567649

Airlines require reserve crew to replace delayed or absent crew, with the aim of preventing consequent flight cancellations. A reserve crew schedule specifies the duty periods for which different reserve crew will be on standby to replace any absent... Read More about Scheduling airline reserve crew using a probabilistic crew absence and recovery model.

Analysis of irregular three-dimensional packing problems in additive manufacturing: a new taxonomy and dataset (2018)
Journal Article
Araújo, L. J., Özcan, E., Atkin, J. A., & Baumers, M. (2019). Analysis of irregular three-dimensional packing problems in additive manufacturing: a new taxonomy and dataset. International Journal of Production Research, 57(18), 5920-5934. https://doi.org/10.1080/00207543.2018.1534016

© 2018 Informa UK Limited, trading as Taylor & Francis Group. With most Additive Manufacturing (AM) technology variants, build processes take place inside an internal enclosed build container, referred to as a ‘build volume’. It has been demonstrat... Read More about Analysis of irregular three-dimensional packing problems in additive manufacturing: a new taxonomy and dataset.

Human performance and strategies while solving an aircraft routing and sequencing problem: an experimental approach (2018)
Journal Article
Argyle, E. M., Houghton, R. J., Atkin, J., de Maere, G., Moore, T., & Morvan, H. (2018). Human performance and strategies while solving an aircraft routing and sequencing problem: an experimental approach. Cognition, Technology and Work, 20(3), 425–441. https://doi.org/10.1007/s10111-018-0480-4

As airport resources are stretched to meet increasing demand for services, effective use of ground infrastructure is increasingly critical for ensuring operational efficiency. Work in operations research has produced algorithms providing airport towe... Read More about Human performance and strategies while solving an aircraft routing and sequencing problem: an experimental approach.

To kit or not to kit: analysing the value of model-based kitting for additive manufacturing (2018)
Journal Article
Khajavi, S. H., Baumers, M., Holmström, J., Özcan, E., Atkin, J., Jackson, W. G., & Li, W. (2018). To kit or not to kit: analysing the value of model-based kitting for additive manufacturing. Computers in Industry, 98, https://doi.org/10.1016/j.compind.2018.01.022

The use of additive manufacturing (AM) for the production of functional parts is increasing. Thus, AM based practices that can reduce supply chain costs gain in importance. We take a forward-looking approach and study how AM can be used more effectiv... Read More about To kit or not to kit: analysing the value of model-based kitting for additive manufacturing.

Pruning Rules for Optimal Runway Sequencing (2017)
Journal Article
De Maere, G., Atkin, J. A. D., & Burke, E. K. (2018). Pruning Rules for Optimal Runway Sequencing. Transportation Science, 52(4), 739-1034. https://doi.org/10.1287/trsc.2016.0733

This paper investigates runway sequencing for real world scenarios at one of the world's busiest airports, London Heathrow. Several pruning principles are introduced that enable significant reductions of the problem's average complexity, without comp... Read More about Pruning Rules for Optimal Runway Sequencing.

A review of electrostatic monitoring technology: The state of the art and future research directions (2017)
Journal Article
Wen, Z., Hou, J., & Atkin, J. (2017). A review of electrostatic monitoring technology: The state of the art and future research directions. Progress in Aerospace Sciences, 94, https://doi.org/10.1016/j.paerosci.2017.07.003

Electrostatic monitoring technology is a useful tool for monitoring and detecting component faults and degradation, which is necessary for system health management. It encompasses three key research areas: sensor technology; signal detection, process... Read More about A review of electrostatic monitoring technology: The state of the art and future research directions.

A technique based on trade-off maps to visualise and analyse relationships between objectives in optimisation problems (2017)
Journal Article
Pinheiro, R. L., Landa-Silva, D., & Atkin, J. (2017). A technique based on trade-off maps to visualise and analyse relationships between objectives in optimisation problems. Journal of Multi-Criteria Decision Analysis, 24(1-2), 37-56. https://doi.org/10.1002/mcda.1604

Understanding the relationships between objectives in a multiobjective optimisation problem is important for developing tailored and efficient solving techniques. In particular, when tackling combinatorial optimisation problems with many objectives t... Read More about A technique based on trade-off maps to visualise and analyse relationships between objectives in optimisation problems.

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.

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.

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.

Lessons from building an automated pre-departure sequencer for airports (2015)
Journal Article
Atkin, J. A. D., Karapetyan, D., Parkes, A. J., & Castro-Gutierrez, J. (2015). Lessons from building an automated pre-departure sequencer for airports. Annals of Operations Research, 252(2), 435-453. https://doi.org/10.1007/s10479-015-1960-z

© 2015, Springer Science+Business Media New York. Commercial airports are under increasing pressure to comply with the Eurocontrol collaborative decision making (CDM) initiative, to ensure that information is passed between stakeholders, integrate au... Read More about Lessons from building an automated pre-departure sequencer for airports.

Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks (2015)
Presentation / Conference Contribution
Araujo, L., Özcan, E., Atkin, J., Baumers, M., Tuck, C., & Hague, R. J. (2015). Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks.

In many cases, the efficient operation of Additive Manufacturing (AM) technology relies on build volumes being packed effectively. Packing algorithms have been developed in response to this requirement. The configuration of AM build volumes is partic... Read More about Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks.

Analysis of objectives relationships in multiobjective problems using trade-off region maps (2015)
Presentation / Conference Contribution
Pinheiro, R. L., Landa-Silva, D., & Atkin, J. (2015). Analysis of objectives relationships in multiobjective problems using trade-off region maps.

Understanding the relationships between objectives in many-objective optimisation problems is desirable in order to develop more effective algorithms. We propose a techniquefor the analysis and visualisation of complex relationships between many (thr... Read More about Analysis of objectives relationships in multiobjective problems using trade-off region maps.

Pruning rules for optimal runway sequencing with airline preferences (2015)
Journal Article
DE MAERE, G., & ATKIN, J. (2015). Pruning rules for optimal runway sequencing with airline preferences. Lecture Notes in Management Science, 7, 76-82

A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty (2014)
Presentation / Conference Contribution
Bayliss, C. D., de Maere, G., Atkin, J., & Paelinck, M. (2014). A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty.

Airlines operate in an uncertain environment for many reasons, for example due to the efects of weather, traffic or crew unavailability (due to delay or sickness). This work focuses on airline reserve crew scheduling under crew absence and journey ti... Read More about A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty.

A more realistic approach for airport ground movement optimisation with stand holding (2013)
Journal Article
Ravizza, S., Atkin, J., & Burke, E. K. (2014). A more realistic approach for airport ground movement optimisation with stand holding. Journal of Scheduling, 17(5), https://doi.org/10.1007/s10951-013-0323-3

In addition to having to handle constantly increasing numbers of aircraft, modern airports also have to address a wide range of environmental regulations and requirements. As airports work closer and closer to their maximal possible capacity, the ope... Read More about A more realistic approach for airport ground movement optimisation with stand holding.

Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations
Presentation / Conference Contribution
Paternostro, S., Moore, T., Hill, C., Atkin, J., De Maere, G., & Morvan, H. (2016, December). Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations. Presented at 2016 8th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing, NAVITEC 2016, Noordwijk, Netherlands

Advanced Receiver Autonomous Integrity Monitoring (ARAIM) is a new Aircraft Based Augmentation System (ABAS) technique, firstly presented in the two reports of the GNSS Evolutionary Architecture Study (GEAS). The ARAIM technique offers the opportunit... Read More about Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations.