Title :
Research of the AP Optimize Method Based on Genetic Simulated Annealing Algorithm
Author :
Liu Ming ; Gao Bing-kun ; Lv Jia ; Du Hong
Author_Institution :
Coll. of Electr. & Inf. Eng., Daqing Pet. Inst., Daqing, China
Abstract :
Based on simulated annealing genetic algorithm to optimize the AP method was proposed, the location and number of AP achieved to optimization, obtained the optimization goal of reaching the maximum coverage with at least number of AP. By improving the crossover to implement the optimal retain strategy, speed up the convergence of the algorithm and avoid a premature.
Keywords :
genetic algorithms; simulated annealing; wireless LAN; access point optimize method; genetic algorithm; optimal retain strategy; simulated annealing; wireless LAN; Computational modeling; Convergence; Educational institutions; Genetic algorithms; Optimization methods; Petroleum; Propagation losses; Simulated annealing; Temperature distribution; Wireless LAN; AP; genetic simulated annealing algorithm; optimize;
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
DOI :
10.1109/ICIC.2009.147
