NDLI: A self-evolving artificial immune system II with T-cell and B-cell for permutation flow-shop problem

Content Provider	Springer Nature Link
Author	Chen, Meng Hui Chang, Pei Chann Lin, Cheng Hui
Copyright Year	2013
Abstract	Artificial immune system has been adopted as a Heuristic Algorithm to solve combinatorial problems for decades. Nevertheless, many of these past applications utilized the benefit of the system but rarely proposed approaches to enhance the overall efficiency. In this paper, we continue what was discussed in the previous research, to develop a self-evolving artificial immune system II by coordinating the T and B cell in the immune system to build a block-based artificial chromosome to shorten the computation time and to improve the performance for problems of different complexities. Through designing Plasma cell and clonal selection, which are relevant to the functioning of the Immune Response, the Immune Response will help the AIS in realizing the global and local searching ability and prevent it from being trapped in local optima. The significant performance shown in the experimental result validates that SEAIS II is effective in solving the permutation flows-hop problems.
Starting Page	1257
Ending Page	1270
Page Count	14
File Format	PDF
ISSN	09565515
Journal	Journal of Intelligent Manufacturing
Volume Number	25
Issue Number	6
e-ISSN	15728145
Language	English
Publisher	Springer US
Publisher Date	2013-01-11
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Artificial immune system Clonal selection Immune response Permutation flow-shop scheduling problems Production/Logistics/Supply Chain Manufacturing, Machines, Tools Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Artificial Intelligence Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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Self-evolving Artificial Immune System via Developing T and B Cell for Permutation Flow-shop Scheduling Problems

Self-evolving artificial immune system via developing t and b cell for permutation flow-shop scheduling problems.

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