On generating distributed intelligence systems architectures using genetic algorithms

Author

Zaidi, Abbas K. ; Levis, Alexander H.

Author_Institution

Dept. of Comput. Sci., Karachi Univ., Pakistan

Volume

28

Issue

3

fYear

1998

fDate

8/1/1998 12:00:00 AM

Firstpage

453

Lastpage

459

Abstract

A methodology for generating large scale distributed intelligence systems (DIS´s) using genetic algorithms is presented. An organizational structure (chromosome) is characterized by generic interactions (genes) among the individual nodes comprising it. The objective function evaluates each structure in the generated population against a set of structural constraints and some user defined criteria. The structures satisfying these constraints are feasible solutions to the design problem

Keywords

cooperative systems; genetic algorithms; knowledge based systems; parallel programming; design problem; distributed intelligence systems architectures; feasible solutions; generic interactions; genetic algorithms; large scale distributed intelligence systems; objective function; organizational structure; structural constraints; user defined criteria; Algorithm design and analysis; Biological cells; Decision making; Design methodology; Genetic algorithms; Intelligent systems; Large-scale systems; Lattices; Petri nets; Resource management;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on

Publisher

ieee

ISSN

1094-6977

Type

jour

DOI

10.1109/5326.704588

Filename

704588