Name
Abstract | ||
|---|---|---|
Tugboat scheduling is an important decision problem in container terminals. This paper proposes a mathematic model of tugboat scheduling and applies an improved Trust-based Ant Colony Optimization method to get the best scheduling plan. The concept of trust value is considered as heuristic information to affect path selecting and the pheromone influence information is introduced to avoid the local optima. The results of the simulation experiment suggests that Trust-based ACO is well suited for tugboat scheduling problem in container terminals and can get better performance than basic ACO. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-34062-8_49 | ICICA (LNCS) |
Keywords | Field | DocType |
trust-based aco,best scheduling plan,trust-based ant colony optimization,tugboat scheduling problem,improved trust-based ant colony,basic aco,tugboat scheduling,pheromone influence information,important decision problem,heuristic information,container terminal,ant colony optimization | Ant colony optimization algorithms,Decision problem,Heuristic,Job shop scheduling,Scheduling (computing),Local optimum,Computer science,Operations research | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
4 | ||