DocumentCode
3600198
Title
DNA coding in evolutionary computation
Author
Suang, Khor Chieh ; Peng, Xiao ; Vadakkepat, Prahlad ; Lee, Tong Heng
Author_Institution
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
Volume
1
fYear
2004
Firstpage
279
Abstract
The parallelism in DNA computing provides great potential to solve complex problems. DNA coding methods are useful to promote the genetic algorithms´ (GAs) performance on some problems. This work compares two coding methods for the genetic algorithm. The effect of the developed coding methods on the algorithms is analyzed by application to classification problem.
Keywords
biocomputing; genetic algorithms; DNA coding method; DNA computing; classification problem; evolutionary computation; genetic algorithm performance; parallelism; Algorithm design and analysis; Amino acids; Biological cells; DNA computing; Drives; Evolutionary computation; Genetic algorithms; Genetic mutations; Organisms; Parallel processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Cybernetics and Intelligent Systems, 2004 IEEE Conference on
Print_ISBN
0-7803-8643-4
Type
conf
DOI
10.1109/ICCIS.2004.1460426
Filename
1460426
Link To Document