Next Generation Optimization
I lead the Monash
Optimisation research group situated in the
Department of Data Science and Artificial Intelligence.
We are developing the next generation of discrete optimization technology:
- High level modelling language
allows concise and powerful modelling of problems, and solving of the same model by many
solvers: constraint programming, mixed integer programming, SAT, SMT and local search.
- Powerful solving technology
lazy clause generation provides the state-of-the-art constraint programming solvers, and unbeatable results on many problems, particularly scheduling.
- Nested constraint programming: an extension to CP to allow the expression and solving of complex nested discrete optimization problems, such as
minimax problems, stochastic optimization problems, bi-level and multi-level optimization, quantified constraint optimization problems, and more.
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Created: 19 June 1995 Maintainer: Peter Stuckey,
Last modified 15th September 2021