Abstract | ||
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The Minimum Latency Problem, also known as Traveling Repairman Problem, the Deliveryman Problem and the Traveling Salesman Problem with Cumulative Costs is a variant of the Traveling Salesman Problem in which a repairman is required to visit customers located on each node of a graph in such a way that the overall waiting times of these customers is minimized. In the present work, an algorithm based on tight different linear programming lowerbounds and a specialized GRASP procedure are presented. The linear programming based lower-bounds are based on the Quadratic Assignment Problem with the aid of side constraints. Instances from 10 up to 60 nodes are solved very close to optimality in reasonable time. |
Year | DOI | Venue |
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2007 | 10.1109/HIS.2007.30 | HIS |
Keywords | Field | DocType |
reasonable time,deliveryman problem,tight different linear programming,upper bounds,linear programming,repairman problem,cumulative costs,computing sharp lower,minimum latency problem,present work,quadratic assignment problem,salesman problem,linear program,traveling salesman problem,lower bound,cumulant | Traveling purchaser problem,Bottleneck traveling salesman problem,Mathematical optimization,GRASP,Quadratic assignment problem,Algorithm,Travelling salesman problem,Cutting stock problem,Linear programming,2-opt,Mathematics | Conference |
ISBN | Citations | PageRank |
0-7695-2946-1 | 0 | 0.34 |
References | Authors | |
15 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Joao Sarubbi | 1 | 35 | 8.53 |
Henrique Pacca L. Luna | 2 | 37 | 2.69 |
Gilberto de Miranda Jr. | 3 | 70 | 3.86 |
Ricardo Saraiva de Camargo | 4 | 89 | 6.26 |