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Study of programmed cell death algorithm and its application

机译:程序化细胞死亡算法及其应用研究

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摘要

The study on the programmed cell death shows that the death of cells is controlled by genes. Based on this theory, an evolutionary algorithm is simulated by introducing control genes operators in the genetic algorithm to optima the traditional genetic algorithm. Markov chain is used to analyze the convergence of programmed cell death algorithm. It can be proved that this new algorithm can converge to the global optimal solution. At the same time, some sub-optima solutions could also be obtained. And the algorithm is applied to solve the maximum value of the function, in which the feasibility and advantages of the algorithm is verified.
机译:对程序性细胞死亡的研究表明,细胞的死亡受基因控制。基于该理论,通过在遗传算法中引入控制基因算子对传统遗传算法进行优化来模拟进化算法。马尔可夫链用于分析程序化细胞死亡算法的收敛性。可以证明,该新算法可以收敛到全局最优解。同时,也可以获得一些次优解。将该算法应用于求解函数最大值,验证了算法的可行性和优势。

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