Exploration of RNA Editing and Design of Robust Genetic Algorithms

Complex Systems Modeling
Modeling, Algorithms, and Informatics Group (CCS-3)
Los Alamos National Laboratory, MS B256
Los Alamos, New Mexico 87545, USA
e-mail: cfhuang@lanl.gov rocha@lanl.gov

Citation: Huang, Chien-feng and Luis M. Rocha. [2003]. Exploration of RNA Editing and Design of Robust Genetic Algorithms. In: Proceedings of the 2003 IEEE Congress on Evolutionary Computation. Canberra, Australia, December 2003. R.Sarker et al (Eds). IEEE Press, pp. 2799-2806.

The full paper is available in Adobe Acrobat (.pdf) format only. Due to mathematical notation and graphics, only the abstract is presented here.


This paper presents our computational methodology using Genetic Algorithms (GA) for exploring the nature of RNA editing. These models are constructed using several genetic editing characteristics that are gleaned from the RNA editing system as observed in several organisms. We have expanded the traditional Genetic Algorithm with artificial editing mechanisms as proposed by (Rocha, 1997). The incorporation of editing mechanisms provides a means for artificial agents with genetic descriptions to gain greater phenotypic plasticity, which may be environmentally regulated. Our first implementations of these ideas have shed some light into the evolutionary implications of RNA editing. Based on these understandings, we demonstrate how to select proper RNA editors for designing more robust GAs, and the results will show promising applications to real-world problems. We expect that the framework proposed will both facilitate determining the evolutionary role of RNA editing in biology, and advance the current state of research in Genetic Algorithms.

For the full paper please download the pdf version

For more information contact Luis Rocha at rocha@indiana.edu.
Last Modified: September 02, 2004