The 2022 Workshop on AI-based Optimisation (AI-OPT 2022)
https://easychair.org/cfp/AIOPT2022
will take place on 17-18 November, 2022, at the University of Melbourne, Australia, and will be hosted by the ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA).
Artificial Intelligence based optimisation techniques such as constraint programming, evolutionary computation, heuristic search, mixed integer programming, and swarm intelligence have found many applications in solving highly complex and challenging optimisation problems. Application domains include important areas such as cybersecurity, economics, engineering, renewable energy, health and supply chain management.
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 consists 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 1 page) 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
Abstracts have to be submitted via Easychair at https://easychair.org/my/conference?conf=aiopt2022
At the time of submission, contributors should indicate whether they would like to present a regular talk of 15-20 minutes or a spotlight talk of 5-7 minutes.
Important dates:
Abstract submission deadline: 30 August, 2022
Notification: 15 September, 2022
Workshop (in person): 17-18 November, 2022
Contact and Organisers:
Uwe Aickelin, The University of Melbourne, Australia
Frank Neumann, The University of Adelaide, Australia
Kate Smith-Miles, The University of Melbourne, Australia