Protein Folding Optimization Using Butterfly Optimization Algorithm

Md. Sowad Karim,Sajib Chatterjee, Ashis Hira, Tarin Islam, Rezanul Islam

Machine Intelligence and Emerging Technologies(2023)

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摘要
Protein folding optimization (PFO) is an NP-hard problem. The Butterfly Optimization Algorithm (BOA) is a recently invented meta-heuristic algorithm that has outperformed current algorithms on a variety of issues. Figure out the structure of a protein is a hard task. Many biomedical operations depend on it. Its already tried by many types of calculation but no one gets the appropriate result. For protein figure analysis but steel have a plethora of place to do some task. That’s why we are going to use the BOA algorithm. And we get enough good results regarding this problem. The three operators of the BOA are (1) Initialization phase, (2) Iteration phase, and (3) Final phase. We have also created a mechanism to obtain the proper structure which is a repair mechanism. Test results show that it works well when the BOA performs in the PFO problem which is better than many other calculations.
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关键词
3D HP lattice model, Protein folding optimization, Butterfly Optimization algorithm, Propagate to best butterfly, Get the best butterfly, Repair direction operator
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