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

fYear

2010

fDate

25-27 June 2010

Firstpage

141

Lastpage

144

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Control Engineering (ICECE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6880-5

Type

conf

DOI

10.1109/iCECE.2010.43

Filename

5630778