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INICIO | 19 de mayo de 2024
  

A hybrid evolutionary approach to intelligent system design.

Título inglés A hybrid evolutionary approach to intelligent system design.
Título español Enfoque evolucionario híbrido del diseño de sistemas inteligentes.
Autor/es Badr, Amr ; Farag, Ibrahim ; Eid, Saad
Organización Dep. Comput. Sci. ISSR Cairo Univ., El Cairo, Egipto;Dep. Electr. Eng. Coll. Eng. Cairo Univ., El Cairo, Egipto
Revista 1134-5632
Publicación 1999, 6 (1): 5-32, 20 Ref.
Tipo de documento articulo
Idioma Inglés
Resumen inglés The problem of developing a general methodology for system design has always been demanding. For this purpose, an evolutionary algorithm, adapted with design-specific representation data structures is devised. The representation modeling the system to be designed, is composed of three levels of abstraction: the first, is an 'abstract brain' layer - mainly a number of competing finite state machines, which in turn control the second level composed of fuzzy Petri nets; the third level constitutes the component automata of the Petri nets. Several mutation operators have been developed acting on that representation. The function of these operators is controlled by a 'stochastic L-system' - representing the chronological application of design tasks. The Petri nets' layer receives tokens from the abstract brain layer and serves in modeling synchronous and asynchronous behaviour. The framework is specifically suited to what is called 'distributed design' - design of communicating systems. For that purpose, a methodology has been developed and implemented / tested in the system GIGANTEC: Genetic Induction for General Analytical Non-numeric Task Evolution Compiler.
Clasificación UNESCO 120304
Palabras clave español Inteligencia artificial ; Algoritmos genéticos ; Redes de Petri ; Modelos matemáticos
Código Z-Math Zbl 0961.68095
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Equipo DML-E
Instituto de Ciencias Matemáticas (ICMAT - CSIC)
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