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Self-Evolvable Protocol Design Using Genetic Algorithms

Author

Listed:
  • Wenbing Yao

    (Huawei Technologies, UK)

  • Sheng-Uei Guan

    (Xian Jiatong-Liverpool University, China)

  • Zhiqiang Jiang

    (National University of Singapore, Singapore)

  • Ilias Kiourktsidis

    (Brunel University, UK)

Abstract

Self-modifying protocols (SMP) are protocols that can be modified at run time by the computers using them. Such protocols can be modified at run time so that they can adapt to the changing communicating environment and user requirements on the fly. Evolvable protocols are SMP designed using Genetic Algorithms (GA). The purpose of this paper is to apply Genetic Algorithms (GA) to design an evolvable protocol in order to equip communication peers with more autonomy and intelligence. The next-generation Internet will benefit from the concept of evolvable protocols. In this paper, we design a Self Evolvable Transaction Protocol (SETP) with a GA executor embedded. We then use the Network Simulator (NS2) to evaluate this evolvable protocol module to demonstrate the feasibility of our new design approach.

Suggested Citation

  • Wenbing Yao & Sheng-Uei Guan & Zhiqiang Jiang & Ilias Kiourktsidis, 2010. "Self-Evolvable Protocol Design Using Genetic Algorithms," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 1(1), pages 36-56, January.
    • Handle: RePEc:igg:jaec00:v:1:y:2010:i:1:p:36-56
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