Title :
Bacterial Chemotaxis Optimization for Protein Folding Model
Author :
Yudong Zhang ; Lenan Wu
Author_Institution :
Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
Abstract :
To improve protein folding simulations, bacterial chemotaxis optimization (BCO) was investigated on a 2D lattice model. BCO is a novel intelligent problem solving technique inspired from the foraging behavior of bacteria. We compared BCO with standard genetic algorithm (SGA), immune genetic algorithm (IGA), and artificial immune system (AIS) for various chain lengths. It shows that BCO has the highest successful rate.
Keywords :
biology computing; genetic algorithms; microorganisms; molecular biophysics; molecular configurations; proteins; 2D lattice model; artificial immune system; bacterial chemotaxis optimization; chain lengths; immune genetic algorithm; protein folding model; protein folding simulations; standard genetic algorithm; Artificial immune systems; Computational modeling; Genetic algorithms; Immune system; Information science; Lattices; Microorganisms; Protein engineering; Protein sequence; Turning; chemotaxis optimization; protein folding model;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.190
