Replicability of Neural Computing Experiments. - Derek Partridge; William B. Yates (Complex Syst., 1996)

Use of Methological Diversity to Improve Neural Network Generalisation. - William B. Yates; Derek Partridge (Neural Comput. Appl., 1996)

Engineering multiversion neural-net systems. - Derek Partridge; William B. Yates (Neural Comput., 1996)

Offline Learning for Selection Hyper-heuristics with Elman Networks. - William B. Yates; Edward C. Keedwell (Artificial Evolution, 2017)

Clustering of hyper-heuristic selections using the Smith-Waterman algorithm for offline learning. - William B. Yates; Edward C. Keedwell (GECCO (Companion), 2017)

Analysing heuristic subsequences for offline hyper-heuristic learning. - William B. Yates; Edward C. Keedwell (GECCO (Companion), 2019)

An analysis of heuristic subsequences for offline hyper-heuristic learning. - William B. Yates; Edward C. Keedwell (J. Heuristics, 2019)

Offline Learning with a Selection Hyper-Heuristic: An Application to Water Distribution Network Optimisation. - William B. Yates; Edward C. Keedwell (Evol. Comput., 2021)

Offline learning for sequence-based selection hyper-heuristics - William B. Yates (2021)

An edge quality aware crossover operator for application to the capacitated vehicle routing problem. - Darren M. Chitty; William B. Yates; Ed Keedwell (GECCO Companion, 2022)

Using Evolutionary Routing Optimisation to Transition to Electric Vehicle Fleets. - Darren M. Chitty; William B. Yates; Ed Keedwell (UKCI, 2022)

Explainable Optimisation through Online and Offline Hyper-heuristics. - William B. Yates; Edward C. Keedwell; Ahmed Kheiri (ACM Trans. Evol. Learn. Optim., 2025)