Abstract
Since most emerging network services require specialized Quality of Service (QoS) functionalities that cannot be provided by the current QoS-unaware routing and wavelength allocation methods for the WDM network. To tackle the QoS based routing and wavelength allocation problem (QRWA) using the two multi-objective genetic algorithms which are based on the ideas of Non-dominated Sorting and Strength Pareto respectively, the chromosome coding scheme, crossover and mutation operators are redefined, and a repair method is proposed to guarantee the generated offspring are valid. The proposed algorithms were evaluated on a set of different scale test problems and compared with the recently proposed GA based multi-objective optimization algorithm for this problem. The experimental results reveal very encouraging results in terms of the solution quality and diversity.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Optik - International Journal for Light and Electron Optics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.