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 ...
Forbes contributors publish independent expert analyses and insights. Ted Linhart is an expert in TV performance data. Netflix recently released its What We Watched report for the second half of 2025, ...
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 ...
In a standard paper assignment setting, a set $\mathcal{P}$ of $n^{(p)}$ papers needs to be assigned to a set $\mathcal{R}$ of $n^{(r)}$ reviewers. To ensure each ...
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 ...
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 ...
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