Jon Rowe

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Jon Rowe’s research interests cover evolutionary computation, multi-agent systems, artificial life and other complex adaptive systems. He also has interests in the theory of evolutionary computation and genetic algorithms and the extension of this theory to arbitrary domains. Elsewhere, he is interested in the evolution of co-operation and emergent computation in multi-agent models, as well as the use of such systems to model complex organisations and social systems.

20002024

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  • 2024

    A Theoretical Investigation Of Termination Criteria For Evolutionary Algorithms

    Rowe, J., 2 Jun 2024, Evolutionary Computation in Combinatorial Optimization: 24th European Conference, EvoCOP 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings. Stützle, T. & Wagner, M. (eds.). 1 ed. Springer, p. 162–176 (Lecture Notes in Computer Science; vol. 14632).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2021

    Simultaneous diffuse optical and bioluminescence tomography to improve source localization

    Bentley, A., Xu, X., Deng, Z., Rowe, J. E., Wang, K. K. H. & Dehghani, H., 9 Dec 2021, Diffuse Optical Spectroscopy and Imaging VIII. Contini, D., Hoshi, Y. & O'Sullivan, T. D. (eds.). SPIE, 1192016. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11920).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2020

    A Cost Effective and Low Footprint Hyperspectral Bioluminescent Tomography System Based on Compressive Sensing

    Bentley, A., Rowe, J. & Dehghani, H., 20 Apr 2020, Biophotonics Congress: Biomedical Optics 2020 (Translational , Microscopy, OCT,OTS, BBRAIN) (BioMed 2020) . Optical Society of America, 2 p. STh3D.5. (OSA Technical Digest; vol. 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Active learning for linear parameter-varying system identification

    Chin, R., Maass, A. I., Ulapane, N., Manzie, C., Shames, I., Nesic, D., Rowe, J. E. & Nakada, H., 8 May 2020, (Accepted/In press) 21st IFAC World Congress (IFAC-V 2020). Elsevier, 6 p. (IFAC-PapersOnLine).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2019

    Compressive Sensing Based Hyperspectral Bioluminescent Imaging

    Bentley, A., Rowe, J. E. & Dehghani, H., 4 Mar 2019, SPIE Proceedings - High-Speed Biomedical Imaging and Spectroscopy IV. Tsia, K. K. & Goda, K. (eds.). Society of Photo-Optical Instrumentation Engineers, Vol. 10889. 6 p. 54. (SPIE Proceedings; vol. 10889).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
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    342 Downloads (Pure)
  • Re-parametrising cost matrices for tuning model predictive controllers

    Chin, R. & Rowe, J. E., 8 Aug 2019, Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC 2019). IEEE Computer Society Press, p. 2856-2863 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    272 Downloads (Pure)
  • The benefits and limitations of voting mechanisms in evolutionary optimisation

    Rowe, J. & Aishwaryaprajna, 27 Aug 2019, FOGA '19 Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery , p. 34-42 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    4 Citations (Scopus)
    252 Downloads (Pure)
  • 2016

    Finite-Horizon Bisimulation Minimisation for Probabilistic Systems

    Kamaleson, N., Parker, D. & Rowe, J., 8 Apr 2016, Model Checking Software: 23rd International Symposium, SPIN 2016, Co-located with ETAPS 2016, Eindhoven, The Netherlands, April 7-8, 2016, Proceedings. Springer, p. 147-164 18 p. (Lecture Notes in Computer Science; vol. 9641).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    2 Citations (Scopus)
    231 Downloads (Pure)
  • Formal Quantitative Analysis of Reaction Networks Using Chemical Organisation Theory

    Mu, C., Dittrich, P., Parker, D. & Rowe, J., 2016, Computational Methods in Systems Biology: 14th International Conference, CMSB 2016, Cambridge, UK, September 21-23, 2016, Proceedings. Springer, p. 232-251 (Lecture Notes in Computer Science; vol. 9859).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    12 Citations (Scopus)
    231 Downloads (Pure)
  • Simple Random Sampling Estimation of the Number of Local Optima

    Alyahya, K. & Rowe, J. E., 2016, Parallel Problem Solving from Nature -- PPSN XIV: 14th International Conference, September 17-21,2016, Proceedings. Springer, Vol. 9921. p. 932-941 10 p. (Lecture Notes in Computer Science; vol. 9921).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    8 Citations (Scopus)
    342 Downloads (Pure)
  • 2015

    Improving the performance of the Germinal center artificial immune system using ɛ-dominance: a multi-objective knapsack problem case study

    Joshi, A., Zarges, C. & Rowe, J., 2015, Evolutionary Computation in Combinatorial Optimization: 15th European Conference, EvoCOP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings. Ochoa, G. & Chicano, F. (eds.). Springer, Vol. 9026. p. 114-125 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9026).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)
  • Landscape properties of the 0-1 knapsack problem

    Alyahya, K. & Rowe, J. E., 11 Jul 2015, GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. Association for Computing Machinery , p. 1343-1344 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    33 Downloads (Pure)
  • Run-Time Analysis of Population-Based Evolutionary Algorithm in Noisy Environments

    Prugel-bennett, A., Rowe, J. & Shapiro, J., 2015, FOGA '15 Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII . Association for Computing Machinery , p. 69-75

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    24 Citations (Scopus)
  • 2014

    An immune-inspired algorithm for the set cover problem

    Joshi, A., Rowe, J. E. & Zarges, C., 2014, Parallel Problem Solving from Nature: PPSN XIII - 13th International Conference, Ljubljana, Slovenia, September 13-17, 2014. Proceedings. Bartz-Beielstein, T., Branke, J., Filipič, B. & Smith, J. (eds.). Springer, Vol. 8672. p. 243-251 9 p. (Lecture Notes in Computer Science; vol. 8672).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)
  • Local optima and weight distribution in the number partitioning problem

    Alyahya, K. & Rowe, J. E., 2014, Parallel Problem Solving from Nature – PPSN XIII : 13th International Conference, Ljubljana, Slovenia, September 13-17, 2014. Proceedings. Bartz-Beielstein, T., Branke, J., Filipic, B. & Smith, J. (eds.). Springer, Vol. 8672. p. 862-871 10 p. (Lecture Notes in Computer Science ; vol. 8672).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • Phase transition and landscape properties of the number partitioning problem

    Alyahya, K. & Rowe, J., 2014, Evolutionary Computation in Combinatorial Optimisation : 14th European Conference, EvoCOP 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers. Blum, C. & Ochoa, G. (eds.). Springer, Vol. 8600. p. 206-217 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8600).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Citations (Scopus)
  • 2011

    Unbiased Black Box Search Algorithms

    Rowe, J. & Vose, MD., 16 Jul 2011, GECCO '11 Proceedings of the 13th annual conference on Genetic and evolutionary computation. Association for Computing Machinery , p. 2035-2042 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    28 Citations (Scopus)
  • 2001

    Markov chain models for GP and variable-length GAs with homologous crossover

    Poli, R., Rowe, J., McPhee NF, NF., Spector, L., Goodman, E., Wu, A., Langdon, WB., Voigt, HM., Gen, M., Sen, S., Dorigo, M., Pezeshk, S., Garzon, M. & Burke, E., 1 Jan 2001, GECCO-2001: Proceedings of the Genetic and Evolutionary Computation Conference. p. 112-119 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • The effects of crossover and mutation operators on variable length linear structures

    Rowe, J., McPhee NF, XX., Spector, L., Goodman, E., Wu, A., Langdon, WB., Voigt, HM., Gen, M., Sen, S., Dorigo, M., Pezeshk, S., Garzon, M. & Burke, E., 1 Jan 2001, Proceedings of the Genetic and Evolutionary Computation Conference : a Joint Meeting of the Sixth Annual Genetic Programming Conference (GP-2001) and the Tenth International Conference on Genetic Algorithms (ICGA-2001). p. 535-542 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution