By Topic

Evolutionary multi-level network synthesis in given design style

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
$31 $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

5 Author(s)
Luba, T. ; Warsaw Univ. of Technol., Poland ; Moraga, C. ; Yanushkevich, S.N. ; Opoka, M.
more authors

This paper extends the technique of evolutionary network design. We study an evolutionary network design strategy from the position of design style. A hypothesis under investigation is that the uncertainty of a total search space (the space of all possible network solutions) through evolutionary network design is removed faster if this space is partitioned into subspaces. This idea has been realized through a parallel window-based scanning of these subspaces. Such a window is determined by the parameters of a multi-level network architecture in a given design style. Our approach allows to synthesize networks with more than two hundred quaternary gates. Moreover we show that information theoretical interpretation of the evolutionary process is useful, in particular in partitioning of network space and measuring of fitness function. The experimental data with 6-input quaternary and 11-inputs binary benchmarks demonstrate the efficiency of our program, EvoDesign, and an improvement against the recently obtained results

Published in:

Multiple-Valued Logic, 2000. (ISMVL 2000) Proceedings. 30th IEEE International Symposium on

Date of Conference:

2000