Name
Abstract | ||
|---|---|---|
In order to solve combinatorial optimization problem are used mainly hybrid heuristics. Inspired from nature, both genetic and ant colony algorithms could be used in a hybrid model by using their benefits. The paper introduces a new model of Ant Colony Optimization using multiple colonies with different level of sensitivity to the ant's pheromone. The colonies react different to the changing environment, based on their level of sensitivity and thus the exploration of the solution space is extended. Several discussion follows about the fuzziness degree of sensitivity and its influence on the solution of a complex problem. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-62524-9_8 | SOFT COMPUTING APPLICATIONS, SOFA 2016, VOL 2 |
Keywords | DocType | Volume |
Ant colony optimization,Stigmergy,Sensitivity,Uncertainty,Fuzzy data,Traveling salesman problem,Combinatorial optimization problems | Conference | 634 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
5 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Camelia-M. Pintea | 1 | 0 | 0.34 |
| Oliviu Matei | 2 | 43 | 11.15 |
| Rabie A. Ramadan | 3 | 62 | 15.04 |
| Mario Pavone | 4 | 212 | 19.41 |
| Muaz A. Niazi | 5 | 177 | 24.55 |
| Ahmad Taher Azar | 6 | 685 | 83.73 |
| Ahmad Taher Azar | 7 | 685 | 83.73 |