A systematic study of genetic algorithms with genotype editing
- Chien-Feng
- Luis Mateus
This paper presents our systematic study on an RNA-editing computational model of Genetic Algorithms (GA). This model is constructed based on 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 [15]. The incorporation of editing mechanisms provides a means for artificial agents with genetic descriptions to gain greater phenotypic plasticity, which may be environmentally regulated. The systematic study of this RNA-editing model has shed some light into the evolutionary implications of RNA editing and how to select proper RNA editors for design of more robust GAS. The results will also show promising applications to complex 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 Evolutionary Computation.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 977448
- Report Number(s):
- LA-UR-04-0693; LA-UR-04-693; TRN: US201009%%772
- Resource Relation:
- Journal Volume: 3102; Conference: Submitted to: Genetic and Evolutionary Computation Conference (GECCO), Seattle, Washington USA, June 26-30, 2004
- Country of Publication:
- United States
- Language:
- English
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