Joshua Knowles

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Joshua Knowles

Prof

 https://orcid.org/0000-0001-8112-6112

Accepting PhD Students

PhD projects

artificial intelligence, swarm intelligence, computational intelligence, evolutionary computation, global optimisation, decision making, reinforcement learning.

20002021

Research activity per year

Personal profile

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

External positions

Professor, SCHLUMBERGER CAMBRIDGE RESEARCH LIMITED

11 Apr 2022 → …

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Collaborations and top research areas from the last five years

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  • Deep optimisation: multi-scale evolution by inducing and searching in deep representations

    Caldwell, J., Knowles, J., Thies, C., Kubacki, F. & Watson, R., 1 Apr 2021, Applications of Evolutionary Computation: 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings. Castillo, P. A. & Jiménez Laredo, J. L. (eds.). 1 ed. Springer, p. 506-521 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12694 LNCS).

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

    2 Citations (Scopus)

  • Realistic utility functions prove difficult for state-of-the-art interactive multiobjective optimization algorithms

    Shavarani, S. M., López-Ibáñez, M. & Knowles, J., 26 Jun 2021, GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. Chicano, F. (ed.). Association for Computing Machinery , p. 457-465 9 p. (Genetic and Evolutionary Computation Conference (GECCO)).

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

    1 Citation (Scopus)

  • A Minimal Model for the Emergence of Cooperation in Randomly Growing Networks

    Miller, S. & Knowles, J., 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

    Open Access
    File
    131 Downloads (Pure)

  • How Much Should You Select for Evolvability?

    Webb, A. M., Handl, J. & Knowles, J., 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

    Open Access
    File
    163 Downloads (Pure)

  • A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering

    Garza-Fabre, M., Handl, J. & Knowles, J., 2017, Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Munster, Germany, March 19 - March 22, 2017, Proceedings. Springer, Vol. 10173. p. 236-251 15 p. (Lecture Notes in Computer Science).

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

    Open Access
    File
    3 Citations (Scopus)
    196 Downloads (Pure)
View all 42 research outputs