The 2025 Workshop AI-based Optimisation
7-8 August 2025, Melbourne Connect
The 2025 Workshop on AI-based Optimisation (AI-OPT 2025) will take place on 7-8 August 2025 at the University of Melbourne, Melbourne Connect, Australia, and will be hosted by the ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA) and the School of Computing and Information Systems at the University of Melbourne (tickets will be free).
The goal of this informal workshop is to bring together researchers from a wide range of AI-based optimisation areas, discuss current challenges, and foster collaborations. The workshop will consist of technical presentations and allow enough time for discussions and collaborations. PhD students and early career researchers are especially encouraged to participate.
Researchers who are interested in presenting their work are invited to submit a short abstract (at most 400 words) on fundamental aspects and/or applications of AI-based optimisation. Algorithmic approaches and topics include (but are not limited to):
* algorithmic game theory
* approximation algorithms
* constraint programming
* evolutionary computation
* heuristics search
* machine learning for optimisation
* mechanism design
* metaheuristics
* mixed integer programming
* parameterised algorithms
* swarm intelligence
Important dates:
Abstract submission deadline: 15 May 2025 (23:59PM Melbourne Time (AEST))
Notification: 30 May 2025
Workshop (in person only): 7-8 August 2025
At the time of submission please indicate whether the presentation will be a regular talk of 15-20 minutes or 5-7 minutes spotlight talk.
Venue:
Level 7 Manhari Room
Melbourne Connect
700 Swanston Street
Carlton, Victoria
Contact and Organisers:
Charlotte Hurry, OPTIMA <https://optima.org.au/staff/dr-charlotte-hurry/>
Aneta Neumann, University of Adelaide, Australia <https://researchers.adelaide.edu.au/profile/aneta.neumann>
Sergey Polyakovskiy, Deakin University <https://experts.deakin.edu.au/43672-sergey-polyakovskiy>
Hemant Singh, University of New South Wales<https://www.unsw.edu.au/staff/hemant-singh>
Dr Aneta Neumann
Researcher, Optimisation and Logistics
Director of Real World Applications
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
The University of Adelaide, Australia
[cid:6C9D71CD-03D0-4D36-BDEB-D70A3A21C70A@Belkin]
p:+61 8 831 66 717
http://researchers.adelaide.edu.au/profile/aneta.neumann
https://www.linkedin.com/in/anetaneumann
CRICOS Provider Number 00123M
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