News25.11.2016 Talk “Resource Allocation under Uncertainty – Online Scheduling with Hard Deadlines”
Prof. Dr. Nicole Megow, University of Bremen, had the above mentioned talk at our Seminar SFB/TRR 89 “InvasIC”. Abstract: Uncertainty in the input data is an omnipresent issue when solving real-world optimization problems: jobs may take more or less time than originally estimated, resources may become unavailable, jobs/information arrive late, etc. Uncertain data is often […]Prof. Dr. Nicole Megow, University of Bremen, had the above mentioned talk at our Seminar SFB/TRR 89 “InvasIC”. Abstract: Uncertainty in the input data is an omnipresent issue when solving real-world optimization problems: jobs may take more or less time than originally estimated, resources may become unavailable, jobs/information arrive late, etc. Uncertain data is often […]
