System evolving using ant colony optimization algorithm.(Report): An article from: Journal of Computer Science Buy on Amazon
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System evolving using ant colony optimization algorithm.(Report): An article from: Journal of Computer Science

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Book Details
ISBN / ASIN B002RENQG2
ISBN-13 978B002RENQG0
Marketplace France 🇫🇷
Description
This digital document is an article from Journal of Computer Science, published by Science Publications on May 1, 2009. The length of the article is 4990 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.

From the author: Key words: Automatic programming, ACO, multi-agent

Citation Details
Title: System evolving using ant colony optimization algorithm.(Report)
Author: Nada M.A. AL-Salami
Publication:Journal of Computer Science (Magazine/Journal)
Date: May 1, 2009
Publisher: Science Publications
Volume: 5 Issue: 5 Page: 380(8)

Article Type: Report

Distributed by Gale, a part of Cengage Learning
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