An Efficient Genetic Algorithm Based on the Cultural Algorithm Applied to DNA Codewords Design

被引：1
|
作者：
Wang, Yan-Feng [1 ]
Niu, Ying [1 ]
Cui, Guang-Zhao [1 ]
机构：
[1] Zhengzhou Univ Light Ind, Coll Elect & Elect Engn, Zhengzhou 450002, Peoples R China
来源：
2008 THIRD INTERNATIONAL CONFERENCE ON BIO-INSPIRED COMPUTING: THEORIES AND APPLICATIONS | 2008年
关键词：
D O I：
10.1109/BICTA.2008.4656711
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
DNA encoding problem, which has been proved to he an NP hard problem, is a key problem for DNA computing, and usually solved by optimization algorithms. A new efficient genetic algorithm based on cultural algorithm for the design of DNA codewords is presented in this paper. In this hybrid optimization method, to abstract and manage the information efficiently, the conventional genetic algorithm is combined with dual evolutionary frame of cultural algorithm to guide the evolution of population space with the evolutionary information. Simulation results show this method is convenient for users to design and select proper DNA codewords in silicon.
引用
收藏
页码：103 / 108
页数：6
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