Title :
Application of genetic algorithm for optimization gasoline fractions blending compounding
Author :
Litvinenko, V.I. ; Burgher, J.A. ; Vyshemirskij, V.S. ; Sokolova, N.A.
Abstract :
The paper deals with the application of a genetic algorithm for the solution of the task of gasoline fraction blending compounding, keeping the given conditions on octane numbers and the amount of given types of commodity gasolines. The principle of coding solutions is described. Several results of experiments on the determination of the effective genetic algorithm configuration are given.
Keywords :
chemical engineering computing; genetic algorithms; oil refining; petroleum industry; coding; experiments; gasoline fraction blending compounding; genetic algorithm; octane number; oil refinery; optimization; Application software; Artificial intelligence; Equations; Fuels; Genetic algorithms; Laboratories; Manufacturing; Oil refineries; Petroleum; Production;
Conference_Titel :
Artificial Intelligence Systems, 2002. (ICAIS 2002). 2002 IEEE International Conference on
Print_ISBN :
0-7695-1733-1
DOI :
10.1109/ICAIS.2002.1048134
