Publications (10)
A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis
Benjamin Doerr, Joshua Knowles, Aneta Neumann +1
We consider whether conditions exist under which block-coordinate descent is asymptotically efficient in evolutionary multi-objective optimization, addressing an open problem. Bloc…
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…
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…
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…
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…
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.…