DocumentCode :
401738
Title :
Research of genetic algorithm based on programmed death theory
Author :
Liu, Zuo-jun ; Huang, Peng ; Zhang, Yan ; Xie, Mao-qiang
Author_Institution :
Coll. of Electr. Eng., Hebei Univ. of Technol., Tianjin, China
Volume :
3
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
1850
Abstract :
Inspired by the programmed cell death theory, which is an advanced research achievement in bionomic field, the 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 standard genetic algorithm is optimized in such bionics way. The application and its simulation result in the path planning for mobile robot proves the feasibility and advantage of the genetic algorithm based on programmed cell death and the idea of gene control. Some improvements on genetic algorithm are so gained. However, some adjustments are still needed to do on this newly presented algorithm.
Keywords :
artificial life; biocybernetics; genetic algorithms; mobile robots; path planning; bionomic field; gene control; genetic algorithm; information cells; man-made control genes; mobile robot; path planning; programmed death theory; Educational institutions; Embryo; Genetic algorithms; Humans; Mobile robots; Optimal control; Path planning; Pediatrics; Process control; Tail;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1259798
Filename :
1259798
Link To Document :
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