Using constraint programming to build robust planning and scheduling tools

Dr Aditya Ghose

School of IT and Computer Science, University of Wollongong

Tuesday 09 July at 11am

Abstract

Constraint programming involves a relatively new class of robust techniques for solving feasibility and optimization problems that has generated considerable industry interest. In this talk, I will provide a quick introduction followed by a more detailed discussion of some of interesting basic and applied research questions. In particular, I will focus on some recent advances in solving over-constrained problems and how these can lead to a new class of robust constraint solvers. I will also talk about some industry-scale tools we have built, in domains such as production scheduling and supply chain optimization.

Short resume

Aditya Ghose is Professor in the School of IT and Computer Science at the University of Wollongong. He holds a PhD in Computing Science from the University of Alberta, Edmonton, Canada. He has previously held appointments in the Dept. of Information Systems at University of Wollongong, at the University of Sydney and at Griffith University. He works in knowledge representation and reasoning, constraint programming, AI applications in software engineering and agent-based systems. He heads the Decision Systems Lab, a multi-disciplinary grouping of researchers interested in applying AI, database and operations research techniques to a variety of enterprise computing and supply chain optimization problems.

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