Allameh Tabataba'i UniversityIndustrial Management Studies2251-8029102720121221An Artificial Bee Colony algorithm approach for
locating optimal switch location in cellular mobile
communication networkAn Artificial Bee Colony algorithm approach for
locating optimal switch location in cellular mobile
communication network44671902FAS.M. AliKhatami FirouzabadiAminVafadar NikjooJournal Article20111224In this research, we use Artificial Bee Colony (ABC) algorithm to<br />solve cell to switch assignment problem (CTSAP) that is NP-hard. In<br />CTSAP, there are cells and switches in which cells locations are<br />predetermined. The objective of problem is optimal assigning of cells<br />to switches with minimum cost. Here, we have two kinds of costs,<br />handoff and cabling costs. Call handling capacity for every switches<br />are given and equal. The model of our work is single homed that is<br />each cell must connect to only one switch. The mathematical model is<br />binary and nonlinear.<br />The program is coded by MATLAB 7.8.0 (R2009a). After estimating<br />parameters values of model, approving performance accuracy of code<br />and adjusting control parameters, the efficiency of algorithm by<br />determining experimental problems compared to Ant Colony<br />Optimization (ACO) that is one of the best for solving this problem.<br />Results show satisfactory performance of ABC algorithmIn this research, we use Artificial Bee Colony (ABC) algorithm to<br />solve cell to switch assignment problem (CTSAP) that is NP-hard. In<br />CTSAP, there are cells and switches in which cells locations are<br />predetermined. The objective of problem is optimal assigning of cells<br />to switches with minimum cost. Here, we have two kinds of costs,<br />handoff and cabling costs. Call handling capacity for every switches<br />are given and equal. The model of our work is single homed that is<br />each cell must connect to only one switch. The mathematical model is<br />binary and nonlinear.<br />The program is coded by MATLAB 7.8.0 (R2009a). After estimating<br />parameters values of model, approving performance accuracy of code<br />and adjusting control parameters, the efficiency of algorithm by<br />determining experimental problems compared to Ant Colony<br />Optimization (ACO) that is one of the best for solving this problem.<br />Results show satisfactory performance of ABC algorithmhttps://jims.atu.ac.ir/article_1902_963b4571f2a5c698243a051c7fee79ae.pdf