NDLI: A Novel Clone Selection Algorithm and its Application for Three Dimension Bin Packing Problem of Web Mode

Content Provider	IEEE Xplore Digital Library
Author	Jian-hua Li Hui Chen Lina Ren
Copyright Year	2010
Abstract	In this paper, we attempted to improve convergent speed and efficiency of Immune Clonal Selection Algorithm (ICSA) from a new viewpoint. We concentrated on the antibody population size and search space. And a novel Reconfigurable Space Clone Selection Algorithm (RSCSA) was put forward. Micro space was constructed through reducing the search space and search dimension. Search power was strengthened greatly when search was just done in this space. The best antibody, which was found in this micro space, would be exchanged with the basic antibody population at the same time. This exchange is a direction for the antibody population evolution. Finally, RSCSA was applied to Three Dimension Bin Packing Problem of web mode Through several experiments, the following became clear. The RSCSA can improved the convergent speed of Web mode loading. At the same time, the algorithm is more efficient. Thus, the RSCSA possessed high performance.
Starting Page	400
Ending Page	403
File Size	264904
Page Count	4
File Format	PDF
ISBN	9781424468126
e-ISBN	9781424468133
DOI	10.1109/CSO.2010.169
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three Dimension Bin Packing Problem antibody Computational modeling Computer simulation Genetic mutations Cloning Immune Clonal Selection Algorithm Concurrent computing Microorganisms Space technology Diversity reception Control system synthesis Immune system
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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