Using genetic programming to improve the performance of wireless LAN access point configuration
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Yasuda:2006:ASPGP,
-
title = "Using genetic programming to improve the performance
of wireless LAN access point configuration",
-
author = "Yuta Yasuda and Yuji Sato",
-
booktitle = "Proceedings of the Third Asian-Pacific workshop on
Genetic Programming",
-
year = "2006",
-
editor = "The Long Pham and Hai Khoi Le and Xuan Hoai Nguyen",
-
pages = "57--68",
-
ISSN = "18590209",
-
address = "Military Technical Academy, Hanoi, VietNam",
-
keywords = "genetic algorithms, genetic programming",
-
URL = "http://gpbib.cs.ucl.ac.uk/aspgp06/yutayasuda.pdf",
-
size = "12 pages",
-
abstract = "Radio communication speed has improved by leaps and
bounds with developments in communication technology.
In a wireless LAN, clients connect to a network to
communicate with access points. Various approaches have
benn used over the years to maximise the efficiency of
access point configurations, such as the simplex
method, Tabu search, and the genetic algorithm. This
paper describes how genetic programming can be applied
to the problem in a more deterministic function to
improve the convergence speed. Linear genetic
programming using arrays to shorten the running time
and bonsai manipulation, hierarchical pruning of genes
based on evaluation of terminal nodes, are proposed. An
experiment was carried out to compare the performance
with that of standard genetic programming.
Consequently, it was confirmed that linear genetic
programming reduced the running time and that the
proposed bonsai manipulation improves not only the
convergence speed, but also the evaluation results.",
-
notes = "broken march 2020 http://www.aspgp.org",
- }
Genetic Programming entries for
Yuta Yasuda
Yuji Sato
Citations