Name
Abstract | ||
|---|---|---|
In this paper, a Stochastic Dynamic Facility Location Problem (SDFLP) is formulated. In the first part, an exact solution method based on stochastic dynamic programming is given. It is only usable for small instances. In the second part a Monte Carlo based method for solving larger instances is applied, which is derived from the Sample Average Approximation (SAA) method. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11571155_15 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
larger instance,sample average approximation,dynamic facility location,exact solution method,small instance,stochastic dynamic facility location,stochastic demand,stochastic dynamic programming,monte carlo,stochastic programming,facility location,stochastic calculus,monte carlo method,exact solution,modeling,dynamic programming | USable,Exact solutions in general relativity,Dynamic programming,Mathematical optimization,Monte Carlo method,Computer science,Stochastic calculus,Facility location problem,Travelling salesman problem,Stochastic programming | Conference |
Volume | ISSN | ISBN |
3777 | 0302-9743 | 3-540-29498-8 |
Citations | PageRank | References |
2 | 0.41 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Romauch | 1 | 72 | 5.42 |
| Richard F. Hartl | 2 | 1863 | 137.30 |