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A Fuzzy Approach of Sensitivity for Multiple Colonies on Ant Colony Optimization
| Content Provider | Semantic Scholar |
|---|---|
| Author | Pintea, C.-M. Matei, Oliviu Ramadan, Rabie A. Pavone, Mario Niazi, Muaz A. Azar, Ahmad Taher |
| Copyright Year | 2016 |
| 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. |
| Starting Page | 87 |
| Ending Page | 95 |
| Page Count | 9 |
| File Format | PDF HTM / HTML |
| DOI | 10.1007/978-3-319-62524-9_8 |
| Alternate Webpage(s) | http://www.dmi.unict.it/mpavone/papers/pavone-sofa2016.pdf |
| Alternate Webpage(s) | https://doi.org/10.1007/978-3-319-62524-9_8 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
