Skip to main content

Research Repository

Advanced Search

Outputs (47)

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, 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.

Analysis and Design of Battery Controller for More Electric Aircraft Application (2021)
Conference Proceeding
Mohamed, M. A. A., Yeoh, S., Atkin, J., Khalaf, M., & Bozhko, S. (2021). Analysis and Design of Battery Controller for More Electric Aircraft Application. . https://doi.org/10.1109/IPRECON52453.2021.9640691

This paper deals with innovative multi-function battery controller with seamless transition between controllers for future MEA platforms. The battery controller performs different functions i.e. providing DC power, maintaining DC bus voltage, control... Read More about Analysis and Design of Battery Controller for More Electric Aircraft Application.

ENIGMA—A Centralised Supervisory Controller for Enhanced Onboard Electrical Energy Management with Model in the Loop Demonstration (2021)
Journal Article
Sumsurooah, S., He, Y., Torchio, M., Kouramas, K., Guida, B., Cuomo, F., …Cavallo, A. (2021). ENIGMA—A Centralised Supervisory Controller for Enhanced Onboard Electrical Energy Management with Model in the Loop Demonstration. Energies, 14(17), Article 5518. https://doi.org/10.3390/en14175518

A centralised smart supervisor (CSS) controller with enhanced electrical energy management (E2-EM) capability has been developed for an Iron Bird Electrical Power Generation and Distribution System (EPGDS) within the Clean Sky 2 ENhanced electrical e... Read More about ENIGMA—A Centralised Supervisory Controller for Enhanced Onboard Electrical Energy Management with Model in the Loop Demonstration.

Methodologies for the Synthesis of Reliable MEA Electrical Power System Architectures (2021)
Conference Proceeding
Recalde, A., Bozhko, S., & Atkin, J. (2021). Methodologies for the Synthesis of Reliable MEA Electrical Power System Architectures.

This paper reviews the main optimization approaches and design frameworks found in the literature for the synthesis of power system architectures for More Electric Aircraft (MEA). System- and network- engineering are the main interdisciplinary fields... Read More about Methodologies for the Synthesis of Reliable MEA Electrical Power System Architectures.

Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA (2020)
Conference Proceeding
Wang, X., Gao, Y., Atkin, J., & Bozhko, S. (2020). Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA. . https://doi.org/10.23919/icems50442.2020.9290968

This paper presents a Neural Network (NN)-based weighting factor (WF) selection method for the multi-objective cost function in Model Predictive Control (MPC). MPC is adopted for scheduling the loads and charging/discharging the battery intelligently... Read More about Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA.

Energy Storage System Selection for Optimal Fuel Consumption of Aircraft Hybrid Electric Taxiing Systems (2020)
Journal Article
Recalde, A., Lukic, M., Hebala, A., Giangrande, P., Klumpner, C., Nuzzo, S., …Galea, M. (2021). Energy Storage System Selection for Optimal Fuel Consumption of Aircraft Hybrid Electric Taxiing Systems. IEEE Transactions on Transportation Electrification, 7(3), 1870-1887. https://doi.org/10.1109/TTE.2020.3039759

IEEE Aircraft taxiing is conventionally performed using the main engines’ inefficient idle thrust. Therefore, in line with greener aviation, the electrification of taxiing is the most viable option to reduce emissions, noise, and fossil fuel consumpt... Read More about Energy Storage System Selection for Optimal Fuel Consumption of Aircraft Hybrid Electric Taxiing Systems.

Optimal Weight Power System Design and Synthesis for More Electric Aircraft (2020)
Conference Proceeding
Recalde, A. A., Bozhko, S., & Atkin, J. (2020). Optimal Weight Power System Design and Synthesis for More Electric Aircraft. In AIAA Propulsion and Energy 2020 Forum. https://doi.org/10.2514/6.2020-3545

© 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved. The synthesis of a power distribution architecture for More Electric Aircraft requires weight optimization in order to reduce energy consumption. The weight of... Read More about Optimal Weight Power System Design and Synthesis for More Electric Aircraft.

Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization (2020)
Conference Proceeding
RECALDE, A., BOZHKO, S., & ATKIN, J. (2020). Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization. In 2020 IEEE Transportation Electrification Conference & Expo (ITEC). https://doi.org/10.1109/ITEC48692.2020.9161584

The increased utilization of electrical energy in future aviation requires an efficient method to perform load flow for optimizing on-board operating conditions. Load flow models of electrical networks are complex to solve and requires iterative meth... Read More about Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization.

Optimal Design and Synthesis of MEA Power System Architectures considering Reliability Specifications (2020)
Journal Article
Recalde, A. A., Atkin, J. A., & Bozhko, S. V. (2020). Optimal Design and Synthesis of MEA Power System Architectures considering Reliability Specifications. IEEE Transactions on Transportation Electrification, 6(4), 1801-1818. https://doi.org/10.1109/TTE.2020.3002875

IEEE Aircraft electrification requires novel designs to supply the growing demand for electric power on-board through efficient and reliable production and distribution of electrical energy. Moreover, the aircraft power system will be a key enabler f... Read More about Optimal Design and Synthesis of MEA Power System Architectures considering Reliability Specifications.

Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning (2019)
Conference Proceeding
Clos, J., Qu, R., & Atkin, J. (2019). Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning. In Artificial Intelligence XXXVI (487-493). https://doi.org/10.1007/978-3-030-34885-4_41

© 2019, Springer Nature Switzerland AG. Policy making involves an extensive research phase during which existing policies which are similar to the one under development need to be retrieved and analysed. This phase is time-consuming for the following... Read More about Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning.

Optimal Power Flow Based Architecture Design for Electrical Power System in More-Electric Aircraft (2019)
Conference Proceeding
Wang, X., Atkin, J., Bozhko, S., & Hill, C. I. (2019). Optimal Power Flow Based Architecture Design for Electrical Power System in More-Electric Aircraft. In Proceedings of the IEEE 45th Annual Conference of the Industrial Electronics Society (IECON'2019)

When designing an electric power system (EPS) architecture for a more electric aircraft (MEA), the total weight of the system is treated as one of the most important criteria. For the weight saving purpose, this paper proposes an optimal power flow (... Read More about Optimal Power Flow Based Architecture Design for Electrical Power System in More-Electric Aircraft.

Design of more electric aircraft dc power distribution architectures considering reliability performance (2019)
Conference Proceeding
Recalde, A. A., Bozhko, S., Atkin, J., & Hill, C. (2019). Design of more electric aircraft dc power distribution architectures considering reliability performance. https://doi.org/10.2514/6.2019-4506

© 2019 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. The More Electric Aircraft (MEA) concept has started to define the future of aircraft electrification. The electrical system will certainly play a crucial rol... Read More about Design of more electric aircraft dc power distribution architectures considering reliability performance.

Power Allocation and Generator Sizing Optimisation of More-Electric Aircraft On-board Electrical Power during Different Flight Stages (2019)
Conference Proceeding
Wang, X., Atkin, J., Hill, C., & Bozhko, S. (2019). Power Allocation and Generator Sizing Optimisation of More-Electric Aircraft On-board Electrical Power during Different Flight Stages. In AIAA Propulsion and Energy 2019 Forum. https://doi.org/10.2514/6.2019-4485

The development of future More Electric Aircraft (MEA) requires exploitation of light-weighted on-board Electrical Power System (EPS) architectural design and energy saving power management strategies. Seeking for the optimal solutions in these key a... Read More about Power Allocation and Generator Sizing Optimisation of More-Electric Aircraft On-board Electrical Power during Different Flight Stages.

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.

A reliability approach for the MEA power system architecture design optimization problem (2018)
Conference Proceeding
Recalde, A., Bozhko, S., Atkin, J., & Hill, C. (2018). A reliability approach for the MEA power system architecture design optimization problem. In 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)

In the literature, there has been thorough research on reliability-based design in different fields. However, aircraft power system investigations have mostly dealt with sub-system optimization. Hence, there is considerable potential to excel innova... Read More about A reliability approach for the MEA power system architecture design optimization problem.

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.

Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations (2017)
Conference Proceeding
Paternostro, S., Moore, T., Hill, C., Atkin, J., De Maere, G., & Morvan, H. (2017). Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations. In 2016 8th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC) (1-15). https://doi.org/10.1109/NAVITEC.2016.7849330

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.

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)
Conference Proceeding
Gumus, D. B., Özcan, E., & Atkin, J. (2016). An investigation of tuning a memetic algorithm for cross-domain search. In 2016 IEEE Congress on Evolutionary Computation (CEC): 24-29 July 2016 Vancouver, Canada (135-142). https://doi.org/10.1109/CEC.2016.7743788

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)
Conference Proceeding
Gümüş, D. B., Özcan, E., & Atkin, J. (2016). An analysis of the Taguchi method for tuning a memetic algorithm with reduced computational time budget. In Computer and information sciences: 31st International Symposium, ISCIS 2016, Kraków, Poland, October 27–28, 2016, proceedings (12–20). https://doi.org/10.1007/978-3-319-47217-1_2

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
Stergianos, C., Atkin, J., Schittekat, P., Nordlander, T. E., Gerada, C., & Morvan, H. (in press). The importance of considering pushback time and arrivals when routing departures on the ground at airports.

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.

Evaluation of advanced receiver autonomous integrity monitoring performance on predicted aircraft trajectories (2016)
Conference Proceeding
Paternostro, S., Moore, T., Hill, C., Atkin, J., & Morvan, H. (2016). Evaluation of advanced receiver autonomous integrity monitoring performance on predicted aircraft trajectories.

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
Jin, Y., Qu, R., & Atkin, J. (2016). Constrained portfolio optimisation: the state-of-the-art Markowitz models.

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.

The effects of pushback delays on airport ground movement (2015)
Journal Article
Stergianos, C., Atkin, J., Schittekat, P., Nordlander, T. E., Gerada, C., & Morvan, H. (in press). The effects of pushback delays on airport ground movement

With the constant increase in air traffic, airports are facing capacity problems. Optimisation methods for specific airport processes are starting to be increasingly utilised by many large airports. However, many processes do happen in parallel, and... Read More about The effects of pushback delays on airport ground movement.

A variable neighbourhood search for the workforce scheduling and routing problem (2015)
Conference Proceeding
Pinheiro, R. L., Landa-Silva, D., & Atkin, J. (2015). A variable neighbourhood search for the workforce scheduling and routing problem. In N. Pillay, A. P. Engelbrecht, A. Abraham, M. C. du Plessis, V. Snášel, & A. K. Muda (Eds.), Advances in nature and biologically inspired computing: proceedings of the 7th World Congress on Nature and Biologically Inspired Computing, NaBIC2015, in Pietermaritzburg, South Africa, held December 01-03, 2015 (247–259). https://doi.org/10.1007/978-3-319-27400-3_22

The workforce scheduling and routing problem (WSRP) is a combinatorial optimisation problem where a set of workers must perform visits to geographically scattered locations. We present a Variable Neighbourhood Search (VNS) metaheuristic algorithm to... Read More about A variable neighbourhood search for the workforce scheduling and routing problem.

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)
Conference Proceeding
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)
Conference Proceeding
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.

A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty (2014)
Conference Proceeding
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.

The Effects of the Planning Horizon on Heathrow TSAT Allocation (2014)
Conference Proceeding
De Maere, G., Atkin, J., & Burke, E. (2014). The Effects of the Planning Horizon on Heathrow TSAT Allocation. In E. Özcan, E. K. Burke, & B. McCollum (Eds.), PATAT 2014: Proceedings of the 10th International Conference of the Practice and Theory of Automated Timetabling (446-449)

A novel approach to independent taxi scheduling problem based on stable matching (2013)
Journal Article
Bai, R., Li, J., Atkin, J. A., & Kendall, G. (2014). A novel approach to independent taxi scheduling problem based on stable matching. Journal of the Operational Research Society, 65(10), https://doi.org/10.1057/jors.2013.96

This paper describes a taxi scheduling system, which aims to improve the overall efficiency of the system, both from the perspective of the drivers and the customers. This is of particular relevance to Chinese cities, where hailing a taxi on the stre... Read More about A novel approach to independent taxi scheduling problem based on stable matching.

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.

Tabu assisted guided local search approaches for freight service network design (2011)
Journal Article
Bai, R., Kendall, G., Qu, R., & Atkin, J. A. (2012). Tabu assisted guided local search approaches for freight service network design. Information Sciences, 189, https://doi.org/10.1016/j.ins.2011.11.028

The service network design problem (SNDP) is a core problem in freight transportation. It involves the determination of the most cost-effective transportation network and the character- istics of the corresponding services, subject to various constra... Read More about Tabu assisted guided local search approaches for freight service network design.

A brief overview on an air transportation system (ATS)
Report
Arif, S., Atkin, J., & De Maere, G. (2020). A brief overview on an air transportation system (ATS). Nottingham: University of Nottingham

The worldwide Air Transport System (ATS) has a huge impact on the global economy and is expected to grow annually in size and operational costs. This impact has led the ATS to attract the attention of researchers worldwide. This article aims to provi... Read More about A brief overview on an air transportation system (ATS).

2Zero project D5.1 Modelling And Simulation Report
Report
Atkin, J., Karapetyan, D., De Maere, G., He, Y., Jackson, W., El Krari, M., & Siggs, T. 2Zero project D5.1 Modelling And Simulation Report. Innovate UK

This report summarises the work in the Modelling and Simulation Work Package, WP 2, of the 2Zero project (funded by Innovate UK, grant agreement number 74829) under UKRI’s Future Flight Challenge Fund. It discusses the simulation that was built, how... Read More about 2Zero project D5.1 Modelling And Simulation Report.

Application of a MILP-based Algorithm for Power Flow Optimisation within More-Electric Aircraft Electrical Power Systems
Conference Proceeding
Wang, X., Atkin, J., Bozhko, S., & Hill, C. (2019). Application of a MILP-based Algorithm for Power Flow Optimisation within More-Electric Aircraft Electrical Power Systems. In Proceedings of EPE'19 21st European Conference on Power Electronics and Applications. https://doi.org/10.23919/EPE.2019.8915388

This paper presents in detail how Mixed-Integer Linear Programming (MILP) can be used to solve the optimal power flow problem of Electrical Power Systems (EPSs) within More-Electric Aircraft (MEA). Continuous linear functions, integer variables and p... Read More about Application of a MILP-based Algorithm for Power Flow Optimisation within More-Electric Aircraft Electrical Power Systems.

Exploration of the ordering for a sequential airport ground movement algorithm
Book
Ravizza, S., & Atkin, J. A. Exploration of the ordering for a sequential airport ground movement algorithm. School of Computer Science

Guiding aircraft around the airport's surface while ensuring conflict-free routings is an important problem at airports. Sequential routing and scheduling algorithms can be advantageous for providing fast online solutions for decision support systems... Read More about Exploration of the ordering for a sequential airport ground movement algorithm.