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Self-Evolvable Protocol Design Using Genetic Algorithms

Self-Evolvable Protocol Design Using Genetic Algorithms

Wenbing Yao, Sheng-Uei Guan, Zhiqiang Jiang, Ilias Kiourktsidis
Copyright: © 2010 |Volume: 1 |Issue: 1 |Pages: 21
ISSN: 1942-3594|EISSN: 1942-3608|ISSN: 1942-3594|EISBN13: 9781616929619|EISSN: 1942-3608|DOI: 10.4018/jaec.2010010103
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MLA

Yao, Wenbing, et al. "Self-Evolvable Protocol Design Using Genetic Algorithms." IJAEC vol.1, no.1 2010: pp.36-56. http://doi.org/10.4018/jaec.2010010103

APA

Yao, W., Guan, S., Jiang, Z., & Kiourktsidis, I. (2010). Self-Evolvable Protocol Design Using Genetic Algorithms. International Journal of Applied Evolutionary Computation (IJAEC), 1(1), 36-56. http://doi.org/10.4018/jaec.2010010103

Chicago

Yao, Wenbing, et al. "Self-Evolvable Protocol Design Using Genetic Algorithms," International Journal of Applied Evolutionary Computation (IJAEC) 1, no.1: 36-56. http://doi.org/10.4018/jaec.2010010103

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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.

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