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
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;
Conference_Titel :
Cybernetics and Intelligent Systems, 2004 IEEE Conference on
Print_ISBN :
0-7803-8643-4
DOI :
10.1109/ICCIS.2004.1460426
