Abstract
The paper analyzed the essence of network division optimization, proposed to use undirected graph division theory to study the issue and, combing the feature of the issue, designed an improved genetic algorithm. The algorithm improved the classical genetic algorithm from fitness function design, genetic operator and parameter selection. The actual research results reveal that the algorithm realized the automatic network division optimization and the performance is better than classical genetic algorithm.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
