Mathematics at Deakin University

Activities of the Mathematics Research Lab and Teaching Team

Bronze medal win in IEEE CEC/GECCO 2021 Competition on “Evolutionary Computation in the Energy Domain: Smart Grid Applications”

Vicky and Rasul have recently won a Bronze medal in IEEE CEC/GECCO 2021 Competition on “Evolutionary Computation in the Energy Domain: Smart Grid Applications”. The competition has two independent tracks, each tackling an optimisation problem in the energy domain. Participants of the competition could use different evolutionary algorithms for each track (if they participate in […]

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Maths at Deakin University Video

This is a video submission to ACEMS for Women in Maths day, 2020 with a poem written by Kerri Morgan and Elicia Lanham.  Footage from the video was incorporated into a video by Tim Macuga prepared for ACEMS.   

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Maths Seminar Series: Radko Mesiar, STU in Bratislava – Aggregation functions: recent results and trends, links to fuzzy set theory

Friday 14 February 2020 – 11:00am – 12:00pm The Mathematics Research Lab welcomes Radko Mesiar from STU in Bratislava to present his research (part of a double seminar). Abstract We bring an overview of some recent new concepts, results and trends in the aggregation theory. In particular, we focus on monotonicity issues in aggregation, including […]

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Publication: Robust fitting for the Sugeno integral with respect to general fuzzy measures

Gleb Beliakov, Marek Gagolewski, Simon James Journal of Information Sciences Abstract The Sugeno integral is an expressive aggregation function with potential applications across a range of decision contexts. Its calculation requires only the lattice minimum and maximum operations, making it particularly suited to ordinal data and robust to scale transformations. However, for practical use […]

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Research Project: Scheduling and timetabling for pilot training

Funded by DSTG ALGORA Vicky Mak-Hau and Sergey Polyakovskiy This project aims to develop a highly intelligent planning tool that integrates simulation, optimisation and data analysis for the daily scheduling of training lessons while, at the same time, allocate limited resources under complex resource restrictions.

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