Name
Title | ||
|---|---|---|
Emergence Of Population Structure In Socio-Cognitively Inspired Ant Colony Optimization |
Abstract | ||
|---|---|---|
A metaheuristic proposed by us recently, Ant Colony Optimization (ACO) hybridized with socio-cognitive inspirations, turned out to generate interesting results when compared to classic ACO. Even though it does not always find better solutions to the considered problems, it usually finds sub-optimal solutions. Moreover, instead of a trial-and-error approach to configure the parameters of the ant species in the population, the actual structure of the population emerges from a predefined species-to-species ant migration strategies in our approach. Experimental results of our approach are compared to classic ACO and selected socio-cognitive versions of this algorithm. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.7494/csci.2018.19.1.2594 | COMPUTER SCIENCE-AGH |
Keywords | Field | DocType |
ant colony optimization, socio-cognitive systems, discrete optimization, emergence | ANT,Ant colony optimization algorithms,Population,Discrete optimization,Computer science,Artificial intelligence,Ant colony,Population structure,Machine learning,Metaheuristic | Journal |
Volume | Issue | ISSN |
19 | 1 | 1508-2806 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aleksander Byrski | 1 | 269 | 45.03 |
| Ewelina Swiderska | 2 | 6 | 1.18 |
| Jakub Lasisz | 3 | 6 | 1.18 |
| Marek Kisiel-Dorohinicki | 4 | 274 | 42.43 |
| Tom Lenaerts | 5 | 276 | 53.44 |
| Dana Samson | 6 | 18 | 3.01 |
| Bipin Indurkhya | 7 | 193 | 51.14 |