Paper Title:
Multi-Objective Optimization Algorithm Design and Implementation of Mobile Base Station Site Selection
  Abstract

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, 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
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Mauricio Mauledoux, Edilberto Mejía-Ruda, Oscar I. Caldas
Chapter 1: Engineering Decisions in Area of Renewable Energy
Abstract:The work is devoted to solve allocation task problem in the distributed energy way in multi agents systems with multi-objective genetic...
24
Authors: Zheng Ying Lin, Wei Zhang
Chapter 8: Machine Parts and Mechanisms of Technological Equipment, Control and Automation
Abstract:Due to several mutual conflicting optimized objectives in the hybrid flow shop scheduling problem, its optimized model, including three...
529