All Outputs (22)

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.