An adaptable transport protocol based on genetic algorithms

Sheng Uei Guan*, Chek Liang Dominic Boh, Fei Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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).

Original languageEnglish
Pages (from-to)199-223
Number of pages25
JournalInternational Journal of Information and Communication Technology
Issue number2
Publication statusPublished - Jun 2008
Externally publishedYes


  • Adaptable protocol
  • Configurable protocol
  • GA
  • Genetic Algorithm
  • Modelling
  • Multi-objectiveness
  • QoS

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