DocumentCode :
3397637
Title :
Immune genetic algorithm for solving nonlinear equations
Author :
Wang Jingfang
Author_Institution :
Dept. of Electr. Eng., Hunan Int. Econ. Univ., Changsha, China
fYear :
2011
fDate :
19-22 Aug. 2011
Firstpage :
2094
Lastpage :
2097
Abstract :
A steam conversion of hydrocarbon mass balance of the nonlinear equations of the immune genetic algorithm method is researched in this paper. The nonlinear equations is transformed into nonlinear optimization problems; The transformation process and implementation are discussed, this method is used to quickly and easily obtain the effective solution of the production technology. The production process used to solve practical problems, optimize production, increase economic efficiency.
Keywords :
genetic algorithms; nonlinear equations; steam reforming; economic efficiency; hydrocarbon mass balance; hydrocarbon steam reforming; immune genetic algorithm; nonlinear equations; nonlinear optimization problems; production technology; steam conversion; Carbon; Genetic algorithms; Hydrocarbons; Immune system; Materials; Mathematical model; Nonlinear equations; Immune genetic algorithm; hydrocarbon steam reforming; material balance; nonlinear solver;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
Type :
conf
DOI :
10.1109/MEC.2011.6025904
Filename :
6025904
Link To Document :
بازگشت