27 citations · 38 across the 2 of their papers we have counts for
7 papers
Heterogeneous Objectives: State-of-the-Art and Future Research
Richard Allmendinger, Joshua Knowles
Multiobjective optimization problems with heterogeneous objectives are defined as those that possess significantly different types of objective function components (not just incomm…
Deep Optimisation: Solving Combinatorial Optimisation Problems using Deep Neural Networks
J. R. Caldwell, R. A. Watson, C. Thies +1
Deep Optimisation (DO) combines evolutionary search with Deep Neural Networks (DNNs) in a novel way - not for optimising a learning algorithm, but for finding a solution to an opti…
Global network cooperation catalysed by a small prosocial migrant clique
Steve Miller, Joshua Knowles
Much research has been carried out to understand the emergence of cooperation in simulated social networks of competing individuals. Such research typically implements a population…
A minimal model for the emergence of cooperation in randomly growing networks
Steve Miller, Joshua Knowles
Cooperation is observed widely in nature and is thought an essential component of many evolutionary processes, yet the mechanisms by which it arises and persists are still unclear.…
Fifty Years of Pulsar Candidate Selection: From simple filters to a new principled real-time classification approach
R. J. Lyon, B. W. Stappers, S. Cooper +2
Improving survey specifications are causing an exponential rise in pulsar candidate numbers and data volumes. We study the candidate filters used to mitigate these problems during…
The emergence of cooperation in public goods games on randomly growing dynamic networks
Steve Miller, Joshua Knowles
According to evolutionary game theory, cooperation in public goods games is eliminated by free-riders, yet in nature, cooperation is ubiquitous. Artificial models resolve this cont…