Title :
A New Genetic Algorithm Combined Cultivating with Migrating Operators
Author :
Wang, Zhurong ; Liu, Jing ; Cui, Duwu
Author_Institution :
Sch. of Comput. Sci. & Eng., Xi´´an Univ. of Technol., Xi´´an, China
Abstract :
A new genetic algorithm, combined cultivating with migrating operators (CMGA), is proposed. Cultivating operator can make gene segments of chromosomes keep superior characteristics at a higher probability. A new migrating schema with directed direction guided by illumination information is discussed, and it can overcome the blindness and invalidity in genetic operations. We focus on key factors of cultivating operator, migrating condition and its strategy. Theoretical analysis and experimental results show that proposed algorithm has excellent performance in some aspects such as the best solution quality, convergence speed and individuals diversity of population.
Keywords :
cellular biophysics; evolution (biological); genetic algorithms; genetics; probability; blindness; chromosome; cultivating operator; gene segment; genetic algorithm; genetic operation; higher probability; illumination information; migrating condition; migrating operator; Biological cells; Evolutionary computation; Gallium; Genetics; Knowledge engineering; Lighting; Optimization; Cultivating operator; Genetic algorithm; Migrating schema;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.43