TY - CHAP
T1 - Notice of Retraction
T2 - Chaotic clonal genetic algorithm for protein folding model
AU - Zhang, Yudong
AU - Wu, Lenan
AU - Huo, Yuankai
AU - Wang, Shuihua
PY - 2010
Y1 - 2010
N2 - To IMPROVE PROTEIN FOLDING SIMULATIONS, A NOVEL CHAOTIC CLONAL GENETIC ALGORITHM (CCGA) WAS INVESTIGATED ON A 2D LATTICE MODEL. THE NOVEL ALGORITHM COMBINES CHAOS OPERATOR, CLONAL SELECTION ALGORITHM, AND GENETIC ALGORITHM. WE COMPARED CCGA WITH STANDARD GENETIC ALGORITHM (SGA) AND IMMUNE GENETIC ALGORITHM (IGA) FOR VARIOUS CHAIN LENGTHS. IT HAS SHOWN THAT CCGA NOT ONLY FIND GLOBAL MINIMA MORE RELIABLY, BUT ALSO BE SIGNIFICANTLY FASTER IN CONVERGENCE.
AB - To IMPROVE PROTEIN FOLDING SIMULATIONS, A NOVEL CHAOTIC CLONAL GENETIC ALGORITHM (CCGA) WAS INVESTIGATED ON A 2D LATTICE MODEL. THE NOVEL ALGORITHM COMBINES CHAOS OPERATOR, CLONAL SELECTION ALGORITHM, AND GENETIC ALGORITHM. WE COMPARED CCGA WITH STANDARD GENETIC ALGORITHM (SGA) AND IMMUNE GENETIC ALGORITHM (IGA) FOR VARIOUS CHAIN LENGTHS. IT HAS SHOWN THAT CCGA NOT ONLY FIND GLOBAL MINIMA MORE RELIABLY, BUT ALSO BE SIGNIFICANTLY FASTER IN CONVERGENCE.
KW - Chaotic clonal genetic algorithm
KW - Protein folding model
UR - http://www.scopus.com/inward/record.url?scp=78649555654&partnerID=8YFLogxK
U2 - 10.1109/ICCASM.2010.5619978
DO - 10.1109/ICCASM.2010.5619978
M3 - Chapter
AN - SCOPUS:78649555654
SN - 9781424472369
T3 - ICCASM 2010 - 2010 International Conference on Computer Application and System Modeling, Proceedings
SP - V3120-V3124
BT - ICCASM 2010 - 2010 International Conference on Computer Application and System Modeling, Proceedings
PB - IEEE Computer Society
ER -