- Tytuł:
- Emergence of population structure in socio-cognitively inspired ant colony optimization
- Autorzy:
-
Byrski, A.
Świderska, E.
Łasisz, J.
Kisiel-Dorohinicki, M.
Lenaerts, T.
Samson, D.
Indurkhya, B. - Powiązania:
- https://bibliotekanauki.pl/articles/305756.pdf
- Data publikacji:
- 2018
- Wydawca:
- Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
- Tematy:
-
ant colony optimization
socio-cognitive systems
discrete optimization
emergence - Opis:
- A metaheuristic proposed by us recently, Ant Colony Optimization (ACO) hybridized with socio-cognitive inspirations, turned out to generate interesting results compared to classic ACO. Even though it does not always find better solutions to the considered problems, it usually finds sub-optimal solutions usually. Moreover, instead of a trial-and-error approach to configure the parameters of the ant species in the population, in our approach, the actual structure of the population emerges from predefined species-to-species ant migration strategies. Experimental results of our approach are compared against classic ACO and selected socio-cognitive versions of this algorithm.
- Źródło:
-
Computer Science; 2018, 19 (1); 81-98
1508-2806
2300-7036 - Pojawia się w:
- Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł