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

161 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

135 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

133 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

132 downloads
On using decision maker preferences with ParEGO
Joshua Knowles, 2017, Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Munster, Germany, March 19 - March 22, 2017, Proceedings. Springer, Vol. 10173. p. 282-297 15 p. (Lecture Notes in Computer Science).

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

106 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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