Abstract
An archive based multi-objective genetic algorithm is proposed for the QoS based multicast routing and wavelength allocation problem (MRWA) is proposed. To not lose promising candidates and improve the algorithm efficiency, an external archive is introduced and used to preserve the promising candidates and form the next generation population. To increase the population diversity, a Pareto local search process is used to make a further exploitation for the new offspring generated by the mutation process. The selection mechanism is redesigned to intensify the exploration of promising areas. The proposed algorithm is evaluated on a set of different scale test problems and compared with some excellent related algorithms. The experimental results reveal very encouraging results in terms of the solution quality.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
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.