William B. Yates

Clustering of hyper-heuristic selections using the Smith-Waterman algorithm for offline learning

William B. Yates, Edward C. Keedwell, W. B. Yates, 2017, GECCO.

Offline Learning with a Selection Hyper-Heuristic: An Application to Water Distribution Network Optimisation

William B. Yates, Edward C. Keedwell, W. B. Yates, 2020, Evolutionary Computation.

An analysis of heuristic subsequences for offline hyper-heuristic learning

William B. Yates, Edward C. Keedwell, W. B. Yates, 2019, J. Heuristics.

Replicability of Neural Computing Experiments

William B. Yates, Derek Partridge, 1996, Complex Syst..

Analysing heuristic subsequences for offline hyper-heuristic learning

William B. Yates, Edward C. Keedwell, 2019, GECCO.

Offline Learning for Selection Hyper-heuristics with Elman Networks

William B. Yates, Edward C. Keedwell, 2017, Artificial Evolution.

Use of methodological diversity to improve neural network generalisation

William B. Yates, Derek Partridge, 2005, Neural Computing & Applications.

Engineering Multiversion Neural-Net Systems

William B. Yates, Derek Partridge, W. B. Yates, 1996, Neural Computation.