Optimizing constrained problems through a T-Cell artificial immune system.: An article from: Journal of Computer Science & Technology
Book Details
ISBN / ASINB001R11910
ISBN-13978B001R11915
AvailabilityAvailable for download now
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Description
This digital document is an article from Journal of Computer Science & Technology, published by Graduate Network of Argentine Universities with Computer Science Schools (RedUNCI) on October 1, 2008. The length of the article is 5625 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: Keywords: Artificial Immune System, Constrained Optimization Problem.
Citation Details
Title: Optimizing constrained problems through a T-Cell artificial immune system.
Author: Victoria S. Aragon
Publication:Journal of Computer Science & Technology (Magazine/Journal)
Date: October 1, 2008
Publisher: Graduate Network of Argentine Universities with Computer Science Schools (RedUNCI)
Volume: 8 Issue: 3 Page: 158(8)
Distributed by Gale, a part of Cengage Learning
From the author: Keywords: Artificial Immune System, Constrained Optimization Problem.
Citation Details
Title: Optimizing constrained problems through a T-Cell artificial immune system.
Author: Victoria S. Aragon
Publication:Journal of Computer Science & Technology (Magazine/Journal)
Date: October 1, 2008
Publisher: Graduate Network of Argentine Universities with Computer Science Schools (RedUNCI)
Volume: 8 Issue: 3 Page: 158(8)
Distributed by Gale, a part of Cengage Learning
