7 citations · 17 across the 6 of their papers we have counts for
6 papers
The Effect of Epigenetic Blocking on Dynamic Multi-Objective Optimisation Problems
Sizhe Yuen, Thomas H. G. Ezard, Adam J. Sobey
Hundreds of Evolutionary Computation approaches have been reported. From an evolutionary perspective they focus on two fundamental mechanisms: cultural inheritance in Swarm Intelli…
From Intelligent Agents to Trustworthy Human-Centred Multiagent Systems
Mohammad Divband Soorati, Enrico H. Gerding, Enrico Marchioni +9
The Agents, Interaction and Complexity research group at the University of Southampton has a long track record of research in multiagent systems (MAS). We have made substantial sci…
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…
Lifetime policy reuse and the importance of task capacity
David M. Bossens, Adam J. Sobey
A long-standing challenge in artificial intelligence is lifelong reinforcement learning, where learners are given many tasks in sequence and must transfer knowledge between tasks w…
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…
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…