Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Modeling, Simulation and Application of Bacterial Transduction in Genetic Algorithms
Year:2013
Research Areas
  • Information technology and adata processing
Information
Abstract
At present, all methods in Evolutionary Computation are bioinspired by the fundamental principles of neo-Darwinism, as well as by a vertical gene transfer. Virus transduction is one of the key mechanisms of horizontal gene propagation in microorganisms (e.g. bacteria). In the present paper, we model and simulate a transduction operator, exploring the possible role and usefulness of transduction in a genetic algorithm. The genetic algorithm including transduction has been named PETRI (abbreviation of Promoting Evolution Through Reiterated Infection). Our results showed how PETRI approaches higher fitness values as transduction probability comes close to 100%. The conclusion is that transduction improves the performance of a genetic algorithm, assuming a population divided among several sub-populations or ?bacterial colonies?.
International
Si
JCR
No
Title
International Journal INFORMATION TECHNOLOGIES & KNOWLEDGE
ISBN
1313-0455
Impact factor JCR
Impact info
Volume
13
Journal number
13
From page
11
To page
22
Month
SIN MES
Ranking
Participants
  • Autor: Carlos Perales Graván
  • Autor: Javier de Vicente Buendía
  • Autor: Juan Bautista Castellanos Peñuela (UPM)
  • Autor: Rafael Lahoz Beltra (UCM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Computación Natural
  • Departamento: Inteligencia Artificial
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