Name
Abstract | ||
|---|---|---|
In this work, we develop a multi-exchange heuristic based on an estimation improvement graph embedded in a simulated annealing to solve a problem arising in plant location planning where tariff exemptions apply. The method is shown to be effective in experiments since it provides good solutions for problems of realistic size. It is superior to CPLEX in terms of time, and is able to provide solutions for large test problems. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11589990_99 | Australian Conference on Artificial Intelligence |
Keywords | Field | DocType |
simulated annealing,multi-exchange heuristic,good solution,realistic size,plant location planning,large test problem,tariff exemption,estimation improvement graph,production location problem,graph embedding | Information system,Simulated annealing,Graph,Mathematical optimization,Heuristic,Computer science,Tariff,Heuristics,Artificial intelligence,Distributed computing | Conference |
Volume | ISSN | ISBN |
3809 | 0302-9743 | 3-540-30462-2 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunsong Guo | 1 | 162 | 8.87 |
| Yanzhi Li | 2 | 67 | 11.56 |
| Andrew Lim | 3 | 83 | 6.49 |
| Brian Rodrigues | 4 | 78 | 8.07 |