Title
An immune algorithm with hyper-macromutations for the Dill's 2D hydrophobic-hydrophilic model
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.
Year
DOI
Venue
2004
10.1109/CEC.2004.1330981
Evolutionary Computation, 2004. CEC2004. Congress
Keywords
Field
DocType
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
Protein structure prediction,Mathematical optimization,Computer science,Evolutionary computation,Algorithm,Artificial intelligence,Operator (computer programming),Molecular biophysics,Clonal selection,Machine learning,Mutation operator
Conference
Volume
ISBN
Citations 
1
0-7803-8515-2
11
PageRank 
References 
Authors
0.99
5
3
Name
Order
Citations
PageRank
vincenzo cutello155357.63
Giuseppe Nicosia247946.53
Mario Pavone321219.41