Name
Abstract | ||
|---|---|---|
The EigenAnt Ant Colony System (EAAS) model is an Ant Colony Optimization (ACO) model based on the EigenAnt algorithm. In previous work, EAAS was found to perform competitively with the Enhanced Ant Colony System (EACS) algorithm, a state-of-the-art method for the Sequential Ordering Problem (SOP). In this paper, we extend EAAS by increasing the amount of stochasticity in its solution construction procedure. In experimental results on the SOPLIB instance library, we find that our proposed method, called Probabilistic EAAS (PEAAS), performs better than both EAAS and EACS. The non-parametric Friedman test is applied to determine statistical significance. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/SIS.2014.7011806 | Swarm Intelligence |
Keywords | Field | DocType |
ant colony optimisation,eigenvalues and eigenfunctions,nonparametric statistics,order processing,statistical testing,stochastic processes,ACO model,EACS algorithm,PEAAS model,SOPLIB instance library,ant colony optimization model,eigenant algorithm,eigenant ant colony system model,enhanced ant colony system,nonparametric Friedman test,probabilistic EAAS,sequential ordering problem,solution construction procedure,statistical significance,stochasticity | Friedman test,Ant colony optimization algorithms,Mathematical optimization,Stochastic process,Nonparametric statistics,Sequential ordering problem,Artificial intelligence,Engineering,Probabilistic logic,Ant colony | Conference |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmed Ezzat | 1 | 9 | 1.57 |
| Ashraf M. Abdelbar | 2 | 243 | 25.43 |
| Donald C. Wunsch II | 3 | 472 | 44.64 |
| Wunsch, D.C. | 4 | 0 | 0.34 |