DocumentCode
2823907
Title
Hormone concentration inception: Development an artificial immune system with immunomodulator (AISI) intervention
Author
Shen, Tsu-Wang ; Laio, Ting-Fong ; Chen, Shao-Tsu
Author_Institution
Dept. of Med. Inf., Tzu Chi Univ., Hualien, Taiwan
fYear
2012
fDate
10-15 June 2012
Firstpage
1
Lastpage
6
Abstract
Evolutionary computation is flourishingly used to solve combinatorial optimization problems nowadays. The proposed method is developed as an artificial immune system (AIS) which considers the influence of the immunomodulator (AISI), specifically, hormone concentration. The concept of hormone concentration is inducted into current AIS to adjust its decision making based on both large and small scale viewpoints. B-cells and antibodies are used to deal with small-scale responses because of the characteristics to neutralize high affinity antigens in a certain range. By contrast, the hormone concentration inception is associated with probability matrix has more advantages on large-scale responses. After testing on four databases, the proposed AISI system offered better overall performances to compare with the original AIS and the ant K-means (AK) system.
Keywords
artificial immune systems; biology computing; cellular biophysics; combinatorial mathematics; database management systems; decision making; evolutionary computation; matrix algebra; probability; AISI intervention; AISI system; AK system; B-cells; ant K-means system; antibodies; artificial immune system; combinatorial optimization problems; databases; decision making; evolutionary computation; high affinity antigens; hormone concentration inception; immunomodulator intervention; large scale viewpoints; large-scale responses; probability matrix; small scale viewpoints; small-scale responses; Biochemistry; Cloning; Clustering algorithms; Databases; Evolutionary computation; Immune system; Iris recognition; Artificial immune system (AIS); evolutionary computation; hormone concentration; immunomodulators; pheromone;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location
Brisbane, QLD
Print_ISBN
978-1-4673-1510-4
Electronic_ISBN
978-1-4673-1508-1
Type
conf
DOI
10.1109/CEC.2012.6256630
Filename
6256630
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