- title = "Wireless Access Point Configuration by Genetic Programming",
- author = "Jianjun Hu and Erik Goodman",
- pages = "1178--1184",
- booktitle = "Proceedings of the 2004 IEEE Congress on Evolutionary Computation",
- year = "2004",
- publisher = "IEEE Press",
- month = "20-23 " # jun,
- address = "Portland, Oregon",
- ISBN = "0-7803-8515-2",
- keywords = "genetic algorithms, genetic programming, Evolutionary design \& evolvable hardware, Real-world applications, Combinatorial \& numerical optimization, STGP",
-
URL = "
http://www-rcf.usc.edu/~jianjunh/paper/cec2004_wireless.pdf",
- language = "en",
- oai = "oai:CiteSeerXPSU:10.1.1.134.6950",
-
DOI = "
10.1109/CEC.2004.1330995",
- abstract = "Wireless access point configuration problem in wireless LAN deployment can be formulated as a non-linear optimization problem with variable number of parameters. In this paper, a strongly-typed genetic programming is applied to solve an abstract version of this problem successfully. It is argued that this problem can be used as a potential benchmark problem for evaluating techniques and investigating issues in strongly typed genetic programming, topologically open-ended synthesis by genetic programming, and simultaneous topological and parametric search",
-
notes = "CEC 2004 - A joint meeting of the IEEE, the EPS, and
the IEE.
\cite{cordella:evocop05} claims to outperform this",
