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Memorias de investigación
Artículos en revistas:
Bacterially inspired evolution of intelligent systems under constantly changing environments
Año:2014
Áreas de investigación
  • Matemáticas,
  • Ciencias de la computación y tecnología informática
Datos
Descripción
This paper explores the capabilities of open-ended bio-inspired evolutionary construction of intelligent systems under changing environments. We present and analyze extensive results of the bacterial evolutionary system. This system creates 3D environments that simulate real constantly changing environments. Populations of artificial bacteria constantly evolve their inner biological processes in these environments as they perform every action programmed in their life cycle. This results in a decentralized, asynchronous, parallel and self-adapting general-purpose evolutionary process whose only goal is the survival of the bacterial population under successive, continuously changing environmental conditions. Results show the problem independence and general-purpose capabilities of the system by making it evolve fuzzy rule-based systems under different environments. Robustness and fault tolerance capabilities are also tested by subjecting the bacterial evolutionary system to sudden changes in the environment. Evolution is open-ended as there is no need to restart the system when changes take place. Artificial bacteria self-adapt themselves in real time in order to guarantee their survival. Bacterially inspired evolution of intelligent systems under constantly changing environments. Available from: https://www.researchgate.net/publication/271953141_Bacterially_inspired_evolution_of_intelligent_systems_under_constantly_changing_environments [accessed May 6, 2015].
Internacional
Si
JCR del ISI
Si
Título de la revista
Soft Computing
ISSN
1432-7643
Factor de impacto JCR
1,304
Información de impacto
Volumen
19
DOI
10.1007/s00500-014-1319-4
Número de revista
4
Desde la página
1071
Hasta la página
1083
Mes
SIN MES
Ranking
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Participantes
  • Autor: Maria Dolores Barrios Rolania (UPM)
  • Autor: José María Font
  • Autor: Daniel Manrique Gamo (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Teoría de Aproximación Constructiva y Aplicaciones
  • Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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