DocumentCode :
419106
Title :
An immune algorithm with hyper-macromutations for the Dill´s 2D hydrophobic-hydrophilic model
Author :
Cutello, Vincenzo ; Nicosia, Giuseppe ; Pavone, Mario
Author_Institution :
Dept. of Math. & Comput. Sci., Catania Univ., Italy
Volume :
1
fYear :
2004
fDate :
19-23 June 2004
Firstpage :
1074
Abstract :
This paper presents an immune algorithm (IA) based on clonal selection principle using a mutation operator, the hypermacromutation, and an aging process to tackle the protein structure prediction problem (PSP) in the 2D hydrophobic-hydrophilic model. The IA presented has only three parameters. To correctly set these parameters we compute the parameter surfaces, the 3D plots of IA success rate in function of the cloning parameter and the maximum age allowed to each B cell. The parameter surfaces show that hypermacromutation and aging operators are key features for generating diversity and searching more properly the funnel landscape of the PSP problem. Experiments show that the immune algorithm we propose is very competitive with the state-of-art algorithms for the PSP.
Keywords :
artificial life; evolutionary computation; molecular biophysics; proteins; 2D hydrophobic-hydrophilic model; B cell; aging operator; clonal selection principle; cloning parameter; funnel landscape; hypermacromutations; immune algorithm; mutation operator; parameter surface; protein structure prediction problem; Aging; Amino acids; Biological system modeling; Biology computing; Genetic mutations; Immune system; Intrusion detection; Organisms; Predictive models; Proteins;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN :
0-7803-8515-2
Type :
conf
DOI :
10.1109/CEC.2004.1330981
Filename :
1330981
Link To Document :
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