By Topic

On generating distributed intelligence systems architectures using genetic algorithms

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
A. K. Zaidi ; Dept. of Comput. Sci., Karachi Univ., Pakistan ; A. H. Levis

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

Published in:

IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)  (Volume:28 ,  Issue: 3 )