Title :
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
fDate :
8/1/1998 12:00:00 AM
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;
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
DOI :
10.1109/5326.704588
