Outputs (28)

A variable neighbourhood search for the workforce scheduling and routing problem
Presentation / Conference Contribution
Pinheiro, R. L., Landa-Silva, D., & Atkin, J. (2015, December). A variable neighbourhood search for the workforce scheduling and routing problem. Presented at 7th World Congress on Nature and Biologically Inspired Computing (NaBIC2015), Pietermaritzburg, South Africa

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.

An investigation of tuning a memetic algorithm for cross-domain search
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.

An analysis of the Taguchi method for tuning a memetic algorithm with reduced computational time budget
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.

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.

Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA
Presentation / Conference Contribution
Wang, X., Gao, Y., Atkin, J., & Bozhko, S. (2020, November). Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA. Presented at 2020 23rd International Conference on Electrical Machines and Systems (ICEMS), Hamamatsu, Japan

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.

Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning
Presentation / Conference Contribution
Clos, J., Qu, R., & Atkin, J. (2019, December). Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning. Presented at International Conference on Innovative Techniques and Applications of Artificial Intelligence (SGAI 2019: Artificial Intelligence XXXVI), Cambridge, UK

© 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.

Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization
Presentation / Conference Contribution
RECALDE, A., BOZHKO, S., & ATKIN, J. (2020, June). Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization. Presented at 2020 IEEE Transportation Electrification Conference & Expo (iTEC 2020), Chicago, Illinois, USA (online)

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 Weight Power System Design and Synthesis for More Electric Aircraft
Presentation / Conference Contribution
Recalde, A. A., Bozhko, S., & Atkin, J. (2020, August). Optimal Weight Power System Design and Synthesis for More Electric Aircraft. Presented at AIAA Propulsion and Energy 2020 Forum, VIRTUAL EVENT

© 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.