Joshua Knowles

Colleges, School and Institutes

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Most downloaded publications

Generating, maintaining and exploiting diversity in a memetic algorithm for protein structure prediction
Joshua Knowles, 1 Dec 2016, In : Evolutionary Computation. 24, 4, p. 577-607 30 p.

Research output: Contribution to journal › Article

140 downloads
Fifty years of pulsar candidate selection: from simple filters to a new principled real-time classification approach
Joshua Knowles, 11 Jun 2016, In : Royal Astronomical Society. Monthly Notices. 459, 1, p. 1104-1123 22 p.

Research output: Contribution to journal › Article

114 downloads
An improved and more scalable evolutionary approach to multiobjective clustering
Joshua Knowles, 9 Aug 2017, In : IEEE Transactions on Evolutionary Computation. PP, 99, 20 p.

Research output: Contribution to journal › Article

114 downloads
Multiobjective optimization: When objectives exhibit non-uniform latencies
Joshua Knowles, 1 Jun 2015, In : European Journal of Operational Research. 243, 2, p. 497-513

Research output: Contribution to journal › Article

108 downloads
Global network cooperation catalysed by a small prosocial migrant clique
Joshua Knowles, 15 Jun 2016, Unconventional Computation and Natural Computation: 15th International Conference, UCNC 2016, Manchester, UK, July 11-15, 2016, Proceedings. Amos, M. & Condon, A. (eds.). Springer, p. 62-74 (Lecture Notes in Computer Science; vol. 9726).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

85 downloads

Recent publications

A Minimal Model for the Emergence of Cooperation in Randomly Growing Networks
Joshua Knowles, 21 Jun 2018, Proceedings of the European Conference on Artificial Life 2015. Andrews, P., Caves, L., Doursat, R., Hickinbotham, S., Polack, F., Stepney, S., Taylor, T. & Timmins, J. (eds.). MIT Press, p. 114-121

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

How Much Should You Select for Evolvability?
Joshua Knowles, 21 Jun 2018, Proceedings of the European Conference on Artificial Life 2015. Andrews, P., Caves, L., Doursat, R., Hickinbotham, S., Polack, F., Stepney, S., Taylor, T. & Timmis, J. (eds.). MIT Press, p. 487-494 8 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

An improved and more scalable evolutionary approach to multiobjective clustering
Joshua Knowles, 9 Aug 2017, In : IEEE Transactions on Evolutionary Computation. PP, 99, 20 p.

Research output: Contribution to journal › Article

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