Protein energy optimization based on cuckoo search algorithm

doi:10.3969/j.issn.1004-1524.2017.07.22

›› 2017, Vol. 29 ›› Issue (7): 1216-1220.DOI: 10.3969/j.issn.1004-1524.2017.07.22

• Biosystems Engineering • Previous Articles

Protein energy optimization based on cuckoo search algorithm

WANG Qingxi, ZHU Lihua

School of Computer Science & Information Engineering, Anyang Institute of Technology, Anyang 455000, China

Received:2017-01-22 Online:2017-07-20 Published:2017-07-24

Abstract

Abstract: For the protein folding prediction problem, a protein energy optimization method based on cuckoo search algorithm was put forward. Firstly, the algorithm from the point of view of multi population evolutionary strategy, tabu search in the original cuckoo search algorithm, and the global search ability of cuckoo search algorithm were improved. Secondly, the problem of protein and energy by the improved cuckoo search algorithm was solved, and the minimum or feasible energy values were obtained. Finally, the feasibility and superiority of the method was proven from the comparative data of the simulation test algorithm and other algorithms.

Key words: protein, energy optimization, protein folding prediction, cuckoo search algorithm, multi swarm, tabu search

CLC Number:

S13
TP18

WANG Qingxi, ZHU Lihua. Protein energy optimization based on cuckoo search algorithm[J]. , 2017, 29(7): 1216-1220.

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Protein energy optimization based on cuckoo search algorithm

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