DocumentCode :
2571222
Title :
Research of evolutionary algorithm based on programmed cell death theory
Author :
Zuojun, Liu ; Jing, Zhao ; Peng, Yang ; Yan, Zhang
Author_Institution :
Sch. of Electr. Eng., Hebei Univ. of Technol., Tianjin
fYear :
2008
fDate :
2-4 July 2008
Firstpage :
5151
Lastpage :
5156
Abstract :
Programmed cell death and genetic control theory are the novel advanced research fruits in bionomic field It states that the balance in cell birth, living and death is controlled by genes. In cells, gene ced-3 and ced-4 control the death, while the gene ced-9 protects the cell from the effect of ced-3 and ced-4. Inspired by the programmed cell death theory, which is an advanced research achievement in bionomic field, an evolutionary algorithm process is simulated in the genetic algorithm by presenting man-made control genes. The gene controls the balance in alive-death of information cells. The classical genetic algorithm is optimized in such bionics way. The application in the path planning for mobile robot proves the feasibility and advantage of the optimized genetic algorithm. The research shows that the evolutionary algorithm based on programmed cell death improves the shortcoming of GA.
Keywords :
biocontrol; cellular biophysics; genetic algorithms; genetic engineering; genetics; bionomic field; evolutionary algorithm; gene ced-3; gene ced-4; gene ced-9; genetic algorithm; genetic control theory; man-made control genes; mobile robot; path planning; programmed cell death theory; Chaos; Control theory; Evolutionary computation; Genetic algorithms; Genetic mutations; Mobile robots; Path planning; Protection; Proteins; Springs; evolutionary algorithm; gene control; genetic algorithm; path planning; programmed cell death;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
Type :
conf
DOI :
10.1109/CCDC.2008.4598312
Filename :
4598312
Link To Document :
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