https://conference.eng.unimelb.edu.au/ai-opt-2019/
will take place on October, 1-2, 2019 at the University of Melbourne, Australia.
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 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=aiopt2019
Important dates:
Abstract submission deadline: 15 July, 2019
Notification: 30 July, 2019
Workshop: 1-2 October, 2019
Contact and Organisers:
Uwe Aickelin, The University of Melbourne, Australia
Frank Neumann, The University of Adelaide, Australia
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