Monte Carlo reliability analysis of tophat stiffened composite plate structures under out of plane loading. - Adam J. Sobey; James I. R. Blake; R. Ajit Shenoi (Reliab. Eng. Syst. Saf., 2013)

Multi-Level Selection Genetic Algorithm applied to CEC '09 test instances. - Przemyslaw A. Grudniewski; Adam J. Sobey (CEC, 2017)

Do general Genetic Algorithms provide benefits when solving real problems? - Przemyslaw A. Grudniewski; Adam J. Sobey (CEC, 2019)

Learning to learn with active adaptive perception. - David M. Bossens; Nicholas C. Townsend; Adam J. Sobey (Neural Networks, 2019)

Behaviour of Multi-Level Selection Genetic Algorithm (MLSGA) using different individual-level selection mechanisms. - Przemyslaw A. Grudniewski; Adam J. Sobey (Swarm Evol. Comput., 2019)

cMLSGA: A Co-Evolutionary Multi-Level Selection Genetic Algorithm for Multi-Objective Optimization. - Przemyslaw A. Grudniewski; Adam J. Sobey (CoRR, 2021)

Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth. - Amy I. Parkes; Adam J. Sobey; D. A. Hudson (CoRR, 2021)

Automation for Interpretable Machine Learning Through a Comparison of Loss Functions to Regularisers. - Amy I. Parkes; Josef Camilleri; D. A. Hudson; Adam J. Sobey (CoRR, 2021)

Epigenetic opportunities for Evolutionary Computation. - Sizhe Yuen; Thomas H. G. Ezard; Adam J. Sobey (CoRR, 2021)

The effect of epigenetic blocking on dynamic multi-objective optimisation problems. - Sizhe Yuen; Thomas H. G. Ezard; Adam J. Sobey (GECCO Companion, 2022)

From intelligent agents to trustworthy human-centred multiagent systems. - Mohammad Divband Soorati; Enrico H. Gerding; Enrico Marchioni; Pavel Naumov; Timothy J. Norman; Sarvapali D. Ramchurn; Bahar Rastegari; Adam J. Sobey; Sebastian Stein 001; Danesh Tarpore; Vahid Yazdanpanah; Jie Zhang 008 (AI Commun., 2022)

Power prediction for a vessel without recorded data using data fusion from a fleet of vessels. - Amy I. Parkes; T. D. Savasta; Adam J. Sobey; D. A. Hudson (Expert Syst. Appl., 2022)

Benchmarking the performance of genetic algorithms on constrained dynamic problems. - Przemyslaw A. Grudniewski; Adam J. Sobey (Nat. Comput., 2022)

On Temporal References in Emergent Communication. - Olaf Lipinski; Adam J. Sobey; Federico Cerutti 001; Timothy J. Norman (CoRR, 2023)

Agent based modelling for continuously varying supply chains. - Wan Wang; Haiyan Wang; Adam J. Sobey (CoRR, 2023)

Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication. - Olaf Lipinski; Adam J. Sobey; Federico Cerutti 001; Timothy J. Norman (NeurIPS, 2024)

Lifetime policy reuse and the importance of task capacity. - David M. Bossens; Adam J. Sobey (AI Commun., 2024)

Robust approximation of the conditional mean for applications of Machine Learning. - Amy I. Parkes; Josef Camilleri; Dominic Hudson; Adam J. Sobey (Appl. Soft Comput., 2024)

CHIRPs: Change-Induced Regret Proxy metrics for Lifelong Reinforcement Learning. - John Birkbeck; Adam J. Sobey; Federico Cerutti 001; Katherine Heseltine Hurley Flynn; Timothy J. Norman (CoRR, 2024)

HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning. - Kryspin Varys; Federico Cerutti 001; Adam J. Sobey; Timothy J. Norman (AAMAS, 2025)

More consistent learnt relationships in regression neural networks using Fit to Median error measure. - Amy I. Parkes; Adam J. Sobey; Dominic Hudson (Eng. Appl. Artif. Intell., 2025)

Collaborating in a competitive world: Heterogeneous Multi-Agent Decision Making in Symbiotic Supply Chain Environments. - Wan Wang; Haiyan Wang; Adam J. Sobey (CoRR, 2025)

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks. - Sizhe Yuen; Ting Su; Ziyang Wang; Yali Du 001; Adam J. Sobey (CoRR, 2025)