Artificial Bee Colony for Two Dimensional Protein Folding
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| Title | Artificial Bee Colony for Two Dimensional Protein Folding |
| Authors | |
| Abstract | In this study, we introduced the artificial bee colony (ABC) algorithm for the sake of improving two dimensional protein folding simulations. ABC is a novel intelligent problem solving technique under the inspiration of collective behavior on honey bees. It has better performance in function optimization problem compared with genetic algorithm, differential evolution, and particle swarm optimization. In this experiment, we compared ABC with the standard genetic algorithm and immune genetic algorithm on 4 benchmark problems with different chain lengths as 20, 36, 48, and 64. The results show that the ABC algorithm can be applied successfully to the protein folding problems based on the hydrophobic-hydrophilic lattice model, and ABC has higher success rate compared to standard genetic algorithm and immune genetic algorithm. |
| Publisher | World Science Publisher |
| Date | 2012-01-23 |
| Source | 2167-633X |
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