DocumentCode :
3044998
Title :
A hybrid algorithm based on genetic algorithm and plant growth simulation algorithm
Author :
Xu, Liang ; Tao, Mu ; Ming, Huang
Author_Institution :
Software Technol. Inst., Dalian Jiao Tong Univ., Dalian, China
Volume :
1
fYear :
2012
fDate :
18-20 May 2012
Firstpage :
445
Lastpage :
448
Abstract :
In order to solve the deceptive and pre-maturity problem of genetic algorithm, we combined plant growth simulation algorithm with genetic algorithm, so a new hybrid genetic algorithm occurred. Because of the searching way is better both in direction and randomness balance, which decided by plant hormone in plant growth simulation algorithm, so the deceptive problem of genetic algorithm is well settled and we got the globally optimal solution in a relatively efficient way. The simulation results show that very nice effects are obtained.
Keywords :
deceptive problem; genetic algorithm; plant growth simulation algorithm; pre-maturity problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measurement, Information and Control (MIC), 2012 International Conference on
Conference_Location :
Harbin, China
Print_ISBN :
978-1-4577-1601-0
Type :
conf
DOI :
10.1109/MIC.2012.6273338
Filename :
6273338
Link To Document :
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