caa a22 4500 60546989X CHVBK 20210128100324.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s00500-014-1319-4 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1319-4 Bacterially inspired evolution of intelligent systems under constantly changing environments [Elektronische Daten] [D. Barrios Rolanía, J. Font, D. Manrique] 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. Springer-Verlag Berlin Heidelberg, 2014 Natural computing nationallicence Bio-inspired computation nationallicence Evolutionary computation nationallicence Open-ended evolution nationallicence Barrios Rolanía D. Departamento de Lenguajes y Sistemas Informáticos e Ingenieria del Software, Universidad Politécnica de Madrid, 28660, Boadilla del Monte, Spain aut Font J. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 28660, Boadilla del Monte, Spain aut Manrique D. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 28660, Boadilla del Monte, Spain aut Soft Computing Springer Berlin Heidelberg 19/4(2015-04-01), 1071-1083 1432-7643 19:4<1071 2015 19 500 https://doi.org/10.1007/s00500-014-1319-4 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1319-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Barrios Rolanía D. Departamento de Lenguajes y Sistemas Informáticos e Ingenieria del Software, Universidad Politécnica de Madrid, 28660, Boadilla del Monte, Spain aut NATIONALLICENCE 700 1- Font J. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 28660, Boadilla del Monte, Spain aut NATIONALLICENCE 700 1- Manrique D. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 28660, Boadilla del Monte, Spain aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/4(2015-04-01), 1071-1083 1432-7643 19:4<1071 2015 19 500