Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Bacterially Inspired Evolving System with an Application to Time Series Prediction (Aceptado)
Year:2011
Research Areas
  • Information technology and adata processing
Information
Abstract
This paper explores the synergies between evolutionary computation and synthetic biology, developing an in silico evolutionary system that is inspired by the behavior of bacterial populations living in continuously changing environments. This system creates a 3D environment seeded with a simulated population of bacteria that eat, reproduce, interact with each other and with the environment and eventually die. This provides a 3D framework implementing an evolutionary process. The subject of the evolution is each bacterium's internal process, defining its interactions with the environment. The evolutionary goal is the survival of the population under successive, continuously changing environmental conditions. The key advantage of this bacterial evolutionary system is its decentralized, asynchronous, parallel and self-adapting general-purpose evolutionary process.We describe this system and present the results of an application to the evolution of a bacterial population that learns how to predict the presence or absence of food in the environment by analyzing three input signals from the environment. The resulting populations successfully evolve by continuously improving their fitness under different environmental conditions, demonstrating their adaptability to a fluctuating medium.
International
Si
JCR
Si
Title
Applied soft computing
ISBN
1568-4946
Impact factor JCR
2,612
Impact info
La revista sí es JCR del ISI. El formulario web da un error al modificar dicho campo y no permite marcar la opción "Sí".
Volume
http://dx.doi.org/10.1016/j.asoc.2012.10.012
Journal number
From page
1
To page
19
Month
SIN MES
Ranking
Participants
  • Autor: José María Font Fernández (UPM)
  • Autor: Daniel Manrique Gamo (UPM)
  • Autor: Maria Dolores Barrios Rolania (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Inteligencia Artificial
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)