All Outputs (2)

A dominance-based surrogate classifier for multi-objective evolutionary algorithms. (2024)
Presentation / Conference Contribution
BANDA, T.M. and ZĂVOIANU, A.-C. 2025. A dominance-based surrogate classifier for multi-objective evolutionary algorithms. In Bramer, M. and Stahl, F. (eds.) Artificial Intelligence XLI: proceedings of the 44th SGAI (Specialist Group on Artificial Intelligence) International conference on artificial intelligence 2024 (AI 2024), 17-19 December 2024, Cambridge, UK. Lecture notes in computer science, 15446. Cham: Springer [online], part I, pages 268-281. Available from: https://doi.org/10.1007/978-3-031-77915-2_19

The application of Multi-Objective Evolutionary Algorithms (MOEAs) is often constrained when addressing computationally expensive Multi-Objective Optimisation Problems (MOOPs). To mitigate this, we propose a dominance-based surrogate classifier that... Read More about A dominance-based surrogate classifier for multi-objective evolutionary algorithms..

An enterprising approach to postgraduate engineering courses for sustainable futures. (2024)
Presentation / Conference Contribution
IYALLA, I., MOULE, C., CHARLES, S. and MAHON, R. 2024. An enterprising approach to postgraduate engineering courses for sustainable futures. Presented at the 2024 Advance HE teaching and learning conference: future-focused education: innovation, inclusion and impact, 2-4 July 2024, Nottingham, UK.

This interactive session is for HE educators seeking to align their teaching to Advance HE's strategic objectives of incorporating "experiential learning, working in multidisciplinary teams on real-world challenges pivotal in cultivating essential co... Read More about An enterprising approach to postgraduate engineering courses for sustainable futures..