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
Link To Document :
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