Projects per year
Personal profile
Research interests
I have been an active member of the international evolutionary computation and optimisation community for the past twenty years. In that time, I have produced over 90 peer reviewed works, including books, journal articles, book chapters and conference papers. Apart from that, I have organised and chaired a number of conferences and workshops as well as supervised students at a masters and doctoral level.
My current interests focus on real-world applications of evolutionary computation (particularly in the area of long term crop planning under climate change) as well as the algorithmic mechanics of heuristic search techniques.
Statement for HDR students
Topics within the area of real-world optimisation and the examination of evolutionary computation methods are available for HDR students to pursue with me.
Education/Academic qualification
Environmental and Applied Science, PhD, Griffith University Queensland
Award Date: 7 Jun 1999
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Projects
- 1 Active
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Climate-aware Sustainable Crop Planning Approaches for Australia
Randall, M., mackey, B., Montgomery, J. & Lewis, A.
1/01/21 → …
Project: Research
Research output
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A Discrete-Event, Simulated Social Agent-Based Network Transmission (DESSABNeT) model for communicable diseases: Method and validation using SARS-CoV-2 data in three large Australian cities
Stapelberg, N., Smoll, N., Randall, M., Palipana, D., Bui, B., Macartney, K., Khandaker, G. & Wattiaux, A., 21 May 2021, In: PLoS One. 16, 5, 21 p., e0251737.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Data mining of hospital suicidal and self-harm presentation records using a tailored evolutionary algorithm
Stapelberg, N., Randall, M., Sveticic, J., Fugelli, P., Dave, H. & Turner, K., 15 Mar 2021, In: Machine Learning with Applications. 3, 24 p., 100012.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
An Introduction to Temporal Optimisation using a Water Management Problem
Randall, M., Montgomery, J. & Lewis, A., Apr 2020, In: Journal of Computational Science. 42, 101108.Research output: Contribution to journal › Article › Research › peer-review
File1 Citation (Scopus)121 Downloads (Pure) -
Developing a Decision Support App for Computational Agriculture
Lewis, A., Randall, M. & Stewart-Koster, B., 2020, Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part II. Krzhizhanovskaya, V. V., Závodszky, G., Lees, M. H., Dongarra, J. J., Sloot, P. M. A., Brissos, S. & Teixeira, J. (eds.). Cham: Springer, p. 551-561 11 p. (Lecture Notes in Computer Science (LNCS); vol. 12138).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Open AccessFile -
A model for a reliable single allocation hub network design under massive disruption
Yahyaei, M., Bashiri, M. & Randall, M., Sep 2019, In: Applied Soft Computing. 82, 14 p., 105561.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile4 Citations (Scopus)4 Downloads (Pure)
Activities
- 2 Invited talk
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Beyond the Classroom: The Physical meets the Virtual
Marcus Randall (Speaker)
5 Dec 2011Activity: Talk or presentation › Invited talk
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Long Term Implications of Climate Change on Crop Planning: Predictions and Planning Models
Marcus Randall (Speaker)
24 Mar 2020Activity: Talk or presentation › Invited talk