Name
Abstract | ||
|---|---|---|
The General Yard Allocation Problem (GYAP) is a resource allocation problem faced by the Port of Singapore Authority. Here, space allocation for cargo is minimized for all incoming requests for space required in the yard within time intervals. The GYAP is NP-hard for which we propose several heuristic algorithms, including Tabu Search, Simulated Annealing, Genetic Algorithms and the recently emerged "Squeaky Wheel" Optimization (SWO). Extensive experiments give solutions to the problem while comparisons among approaches developed show that the Genetic Algorithm method gives best results. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/3-540-45110-2_97 | GECCO |
Keywords | Field | DocType |
genetic algorithms,space allocation,general yard allocation problem,resource allocation problem,singapore authority,squeaky wheel,genetic algorithm method,best result,simulated annealing,tabu search,resource allocation,heuristic algorithm,genetic algorithm | Simulated annealing,Mathematical optimization,Heuristic,Computer science,Yard,Resource allocation,Space allocation,Priority queue,Tabu search,Genetic algorithm | Conference |
Volume | ISSN | ISBN |
2724 | 0302-9743 | 3-540-40603-4 |
Citations | PageRank | References |
5 | 0.59 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ping Chen | 1 | 17 | 1.93 |
| Zhaohui Fu | 2 | 283 | 14.28 |
| Andrew Lim | 3 | 373 | 21.86 |
| Brian Rodrigues | 4 | 311 | 22.31 |