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Improved Biogeography-Based Optimization approach to secondary protein prediction

机译:改进的基于生物地理学的二级蛋白质预测优化方法

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In recent years, many bio-inspired computation algorithms have been proposed to solve constraint problems. Biogeography-Based Optimization (BBO) is one of these newly proposed optimization algorithms. As a new way to solve complicated optimization problems, BBO has a quick convergence. In this paper, we proposed an improved BBO for solving protein structure prediction problems. Comparative experiments with standard BBO and differential evolution algorithm (DE) are also conducted, and the results demonstrate this improved BBO approach performs better in solving these complicated protein prediction problems.
机译:近年来,已经提出了许多受生物启发的计算算法来解决约束问题。基于生物地理的优化(BBO)是这些新近提出的优化算法之一。作为解决复杂优化问题的一种新方法,BBO具有快速收敛性。在本文中,我们提出了一种改进的BBO,用于解决蛋白质结构预测问题。还与标准BBO和差分进化算法(DE)进行了比较实验,结果表明,这种改进的BBO方法在解决这些复杂的蛋白质预测问题方面表现更好。

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