Abstract: Many operation optimization problems such as scheduling and assignment of interest to the automation community are mixed-integer linear programming (MILP) problems. Because of their ...

The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...

15-Feb-2023: Simple examples from vOptGeneric have been adapted for MOA 15-Feb-2023: vOptGeneric.jl is no longer under active development 15-Feb-2023: vOptGeneric.jl has been redesigned and ...

Niccolo Serratt is a friendly and bubbly personality, known for his sense of humour, trustworthiness and professionalism. He's passionate about many (maybe too many) topics like avaiton, politics and ...

Abstract: This letter develops two distributed algorithms to solve multi-robot task assignment problems (MTAP). We first describe MTAP as an integer linear programming (ILP) problem and then ...

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In this mini-review, we introduce and summarize research from the Quantum Technologies Group (QTG) at Carnegie Mellon University related to computational experience with quantum annealing, performed ...

Download PDF Join the Discussion View in the ACM Digital Library The maximum flow problem and its generalization, the minimum-cost flow problem, are classic combinatorial graph problems that find ...