David Hemmi
david.hemmi@monash.eduMonash University
Stochastic MiniZinc, efficient algorithms for stochastic combinatorial problems.
Publications on MiniZinc by David Hemmi
- David Hemmi, Guido Tack, and Mark Wallace. 2018.A Recursive Scenario Decomposition Algorithm for Combinatorial Multistage Stochastic Optimisation Problems.AbstractProceedings of the Thirty-Second AAAI Conference on Artificial Intelligence and Thirtieth Innovative Applications of Artificial Intelligence Conference and Eighth AAAI Symposium on Educational Advances in Artificial Intelligence AAAI Press.
- David Hemmi, Guido Tack, and Mark Wallace. 2017.Scenario-Based Learning for Stochastic Combinatorial Optimisation.AbstractIntegration of AI and OR Techniques in Constraint Programming: 277—292. Springer International Publishing.