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| Content Provider | Springer Nature Link |
|---|---|
| Author | Rubio Largo, Álvaro Vega Rodríguez, Miguel A. Gómez Pulido, Juan A. Sánchez Pérez, Juan M. |
| Copyright Year | 2012 |
| Abstract | Nowadays, the most promising technology for designing optical networks is the wavelength division multiplexing. This technique divides the huge bandwidth of an optical fiber link into different wavelengths, providing different available channels per link. However, a problem comes up when it is necessary to interconnect a set of traffic demands. This problem is known as routing and wavelength assignment problem, and due to its complexity (NP-hard problem) it is very suitable for being solved using evolutionary computation. The selected heuristics is the artificial bee colony algorithm, an heuristics based on the behavior of honeybee foraging for nectar. Therefore, we have applied multiobjective optimization to solve the static routing and wavelength assignment problem, and adapted this algorithm to the multiobjective context. New results have been obtained that significantly improve those published in previous researches. |
| Starting Page | 199 |
| Ending Page | 211 |
| Page Count | 13 |
| File Format | |
| ISSN | 14327643 |
| Journal | Soft Computing |
| Volume Number | 17 |
| Issue Number | 2 |
| e-ISSN | 14337479 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2012-07-28 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Artificial bee colony Routing and wavelength assignment WDM networks Multiobjective optimization Computational Intelligence Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Software Geometry and Topology |
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