A PBIL for load balancing in network coding based multicasting

Journal:16th International Conference on Computational Science and Its Applications (ICCSA 2016)

Place of Publication:Beijing, PEOPLES R CHINA

Key Words:Load balancing,Multicast,Network coding,Population based incremental learning

Abstract:One of the most important issues in multicast is how to achieve a balanced traffic load within a communications network. This paper formulates a load balancing optimization problem in the context of multicast with network coding and proposes a modified population based incremental learning (PBIL) algorithm for tackling it. A novel probability vector update scheme is developed to enhance the global exploration of the stochastic search by introducing extra flexibility when guiding the search towards promising areas in the search space. Experimental results demonstrate that the proposed PBIL outperforms a number of the state-of-the-art evolutionary algorithms in terms of the quality of the best solution obtained.

Co-author:Huanlai Xing*,Ying Xu,Rong Qu,Lexi Xu

Document Code:10.1007/978-3-319-42108-7_3

Volume:9787

Page Number:34-44

ISSN No.:0302-9743

Translation or Not:no

Date of Publication:2016-07-12

Included Journals:SCI