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The Scientific World Journal
Volume 2014, Article ID 430705, 8 pages
Research Article

Group Search Optimizer for the Mobile Location Management Problem

1School of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin 300222, China
2State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China
3School of Computer and Communication Engineering, Tianjin University of Technology, Tianjin 300384, China

Received 30 May 2014; Revised 18 July 2014; Accepted 25 July 2014; Published 11 August 2014

Academic Editor: Wanneng Shu

Copyright © 2014 Dan Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We propose a diversity-guided group search optimizer-based approach for solving the location management problem in mobile computing. The location management problem, which is to find the optimal network configurations of management under the mobile computing environment, is considered here as an optimization problem. The proposed diversity-guided group search optimizer algorithm is realized with the aid of diversity operator, which helps alleviate the premature convergence problem of group search optimizer algorithm, a successful optimization algorithm inspired by the animal behavior. To address the location management problem, diversity-guided group search optimizer algorithm is exploited to optimize network configurations of management by minimizing the sum of location update cost and location paging cost. Experimental results illustrate the effectiveness of the proposed approach.