The full text of this article:

An adaptable transport protocol based on Genetic Algorithms
by Sheng-Uei Guan, Chek Liang Dominic Boh, Fei Liu
International Journal of Information and Communication Technology (IJICT), Vol. 1, No. 2, 2008
Abstract: In this paper, we present an adaptable protocol, Genetic Algorithm Transport Protocol (GATP) based on Genetic Algorithms (GAs), which evolves and adapts to the network environment to achieve best-effort user-configurable Quality of Services (QoS). The networking environment is an evolutionary playground for data packets that are evolved using a fitness level of QoS achievement. Different fitness functions of weighted, single objectives, and finally multi-objectives are applied to understand the network problem. Experiments are conducted to provide the performance analysis of GATP in an actual network environment. Experimental results also show how this proposed protocol compares with Transmission Control Protocol (TCP) and User Datagram Protocol (UDP).

is only available to individual subscribers or to users at subscribing institutions.

Pay per view: If you are not a Subscriber and you just want to read the full contents of this article, please click here to purchase online access to the full-text of this article. Please allow 3 days + mailing time. Current price for article is Thirty Euros (€30)

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Information and Communication Technology (IJICT) journal, that have been redirected here, please check if you have a registered username/password subscription with Inderscience. If that is the case, please Login:

If you are not yet a Subscriber to International Journal of Information and Communication Technology (IJICT) journal, you can subscribe by following a few simple and quick steps. A subscription will give you complete access to all articles in the current issue, as well as to all articles in the previous three years, where applicable. Click here to subscribe.

Should you experience further difficulties or have any enquiries, please email subs@inderscience.com