Sistema Evolutivo Bio-inspirado en el Comportamiento Bacteriano

Font Fernández, José María (2011). Sistema Evolutivo Bio-inspirado en el Comportamiento Bacteriano. Tesis (Doctoral), Facultad de Informática (UPM) [antigua denominación].

Descripción

Título: Sistema Evolutivo Bio-inspirado en el Comportamiento Bacteriano
Autor/es:
  • Font Fernández, José María
Director/es:
  • Manrique Gamo, Daniel
  • Barrios Rolanía, Dolores
Tipo de Documento: Tesis (Doctoral)
Fecha: 26 Octubre 2011
Materias:
Palabras Clave Informales: Computación Evolutiva, Computación Natural, Sistemas Inteligentes
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento

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Resumen

The main goal of this thesis is to build a new evolutionary computation method that implements an asynchronous, decentralized and continuous general-purpose evolutionary process designed to automatically generate intelligent systems. The grammar-guided evolutionary automatic system (GGEAS) is an evolutionary framework with a modular design that is capable of adapting grammar-guided genetic programming techniques for use in the construction of intelligent systems for different application domains. GGEAS has been used to automatically build symbolic and sub-symbolic intelligent systems, as well as synthetic biological circuits. The artificial bacterium is an evolutionary vehicle bio-inspired by the behavior of bacteria in nature. This bacterium uses a derivation tree belonging to a context-free grammar to codify an intelligent system in its inside. The artificial bacterium constantly and asynchronously evolves this intelligent system as it moves within a constantly changing simulated 3D environment. Additionally, this research defines the conjugation operator and the quorum sensing population control method. The conjugation operator uses a grammar-based crossover operator to cross the inner intelligent systems of two artificial bacteria that are close together in the environment. The quorum sensing control method implements a distributed artificial bacterial population control mechanism. The combined application of the techniques developed in this thesis builds the bacterially inspired evolutionary system. This system takes inspiration from the natural behavior of bacterial populations to build a distributed, asynchronous and parallel evolutionary mechanism that preserves AGGES strengths and is capable of automatically generating intelligent systems in constantly changing environments.

Más información

ID de Registro: 10480
Identificador DC: http://oa.upm.es/10480/
Identificador OAI: oai:oa.upm.es:10480
Depositado por: Don José María Font Fernández
Depositado el: 09 Mar 2012 13:02
Ultima Modificación: 20 Abr 2016 18:41
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