Document Type

Report

Date

11-14-1994

Embargo Period

5-7-2012

Keywords

neural networks

Language

English

Disciplines

Computer Sciences

Description/Abstract

We consider the problem of distributing the documents to a given set of processors so that the load on each processor is as equal as possible and the amount of communication is as small as possible. This is an NP-Complete problem. We apply continuous as well as discrete Hopfield neural networks to obtain suboptimal solutions for the problem. These networks perform better than a genetic algorithm for this task proposed by Frieder et al. [4]; in particular, the continuous Hopfield network performs extremely well.

Additional Information

School of Computer and Information Science, Syracuse University, SU-CIS-94-08

Source

local

Share

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