3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.NE2021
Epigenetic opportunities for Evolutionary Computation
Sizhe Yuen, Thomas H. G. Ezard, Adam J. Sobey
Evolutionary Computation is a group of biologically inspired algorithms used to solve complex optimisation problems. It can be split into Evolutionary Algorithms, which take inspir…
cs.LG2021
Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth
A. I. Parkes, A. J. Sobey, D. A. Hudson
Artificial intelligence is applied in a range of sectors, and is relied upon for decisions requiring a high level of trust. For regression methods, trust is increased if they appro…
cs.NE2021★ 3 cited
cMLSGA: A Co-Evolutionary Multi-Level Selection Genetic Algorithm for Multi-Objective Optimization
P. A. Grudniewski, A. J. Sobey
In practical optimisation the dominant characteristics of the problem are often not known prior. Therefore, there is a need to develop general solvers as it is not always possible…