Multi-Objective Optimization Algorithm Design and Implementation of Mobile Base Station Site Selection

Abstract:

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The number of base station location impact the network quality of service. A new method is proposed based on immune genetic algorithm for site selection. The mathematical model of multi-objective optimization problem for base station selection and the realization of the process were given. The use of antibody concentration selection ensures the diversity of the antibody and avoiding the premature convergence, and the use of memory cells to store Pareto optimal solution of each generation. A exclusion algorithm of neighboring memory cells on the updating and deleting to ensure that the Pareto optimal solution set of the distribution. The experiments results show that the algorithm can effectively find a number of possible base station and provide a solution for the practical engineering application.

Info:

Periodical:

Edited by:

Honghua Tan

Pages:

2496-2502

DOI:

10.4028/www.scientific.net/AMM.29-32.2496

Citation:

M. Wang and J. Tang, "Multi-Objective Optimization Algorithm Design and Implementation of Mobile Base Station Site Selection", Applied Mechanics and Materials, Vols. 29-32, pp. 2496-2502, 2010

Online since:

August 2010

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$35.00

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