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 › peer-review

192 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 › peer-review

172 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 20 p.

Research output: Contribution to journal › Article › peer-review

161 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 › peer-review

156 downloads
The Emergence of Cooperation in Public Goods Games on Randomly Growing Dynamic Networks
Joshua Knowles, 15 Mar 2016, Evolutionary Algorithms and Complex Systems (EVOCOMPLEX 2016): EvoWorkshops, Proceedings. Springer, p. 363-378 (Lecture Notes in Computer Science; vol. 9597).

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

141 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 › peer-review

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