239 citations · 318 across the 11 of their papers we have counts for
12 papers
Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes
Chin Woei Lim, Richard Allmendinger, Joshua Knowles +2
We use a multi-agent system to model how agents (representing firms) may collaborate and adapt in a business 'landscape' where some, more influential, firms are given the power to…
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…
Rapid Skill Capture in a First-Person Shooter
David Buckley, Ke Chen, Joshua Knowles
Various aspects of computer game design, including adaptive elements of game levels, characteristics of 'bot' behavior, and player matching in multiplayer games, would ideally be s…
Population fluctuation promotes cooperation in networks
Steve Miller, Joshua Knowles
We consider the problem of explaining the emergence and evolution of cooperation in dynamic network-structured populations. Building on seminal work by Poncela et al, which shows h…
Hellinger Distance Trees for Imbalanced Streams
R. J. Lyon, J. M. Brooke, J. D. Knowles +1
Classifiers trained on data sets possessing an imbalanced class distribution are known to exhibit poor generalisation performance. This is known as the imbalanced learning problem.…
A Study on Classification in Imbalanced and Partially-Labelled Data Streams
R. J. Lyon, J. M. Brooke, J. D. Knowles +1
The domain of radio astronomy is currently facing significant computational challenges, foremost amongst which are those posed by the development of the world's largest radio teles…
Techniques for Highly Multiobjective Optimisation: Some Nondominated Points are Better than Others
David Corne, Joshua Knowles
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much ev…