Title :
A new aspect of Genetic Algorithm
Author :
Ghanbari, Shamsollah ; Khosrokhani, Maryam
Author_Institution :
Dept. of Comput. Sci., Islamic Azad Univ., Ashtian, Iran
Abstract :
We introduced a new evolutionary based algorithm and named it bisected algorithm. Bisected algorithm mimics the behavior of living creatures which reproduce through bisection. In the present study we have approached the problem from a biological perspective and extended the bisected algorithm.
Keywords :
genetic algorithms; biological perspective; bisected algorithm; evolutionary-based algorithm; genetic algorithm; living creature; Biological cells; Biological information theory; Computer science; Decoding; Encoding; Evolutionary computation; Genetic algorithms; Genetic mutations; Genetic programming; Performance evaluation; Bisected Algorithm; Evolutionary Algorithm; Genetic Algorithm; copy; mutation; population space; repair;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234563
