Ant Genetic Algorithm Based on Immune Mechanism and Its Application in Parameters Estimation of Heavy Oil Thermal Cracking Model

Author

Wang, Jian ; Ren, Weijian ; Liu, Dan ; Zhang, Jianqiu

Author_Institution

Fac. of Chem. & Chem. Eng., Daqing Pet. Inst., Daqing

Volume

1

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

56

Lastpage

60

Abstract

According to rules of ants looking for food and immune genetic thought, an ant colony genetic algorithm is proposed based on immune mechanism. In precondition of keeping characteristics of the ant colony algorithm for global optimization and getting rationality of solutions in finite time, by introducing immune mechanism, the diversity of individuals can be assured and the phenomenon of long searching time and easy stagnating are avoided. The proposed algorithm was successful in continuous space optimization problem. The results show the effectiveness in applying the algorithm to parameters estimation of heavy oil thermal cracking model.

Keywords

artificial immune systems; combinatorial mathematics; genetic algorithms; oil technology; parameter estimation; search problems; ant colony genetic algorithm; ant genetic algorithm; continuous space optimization problem; global optimization; heavy oil thermal cracking model; immune mechanism; parameters estimation; Ant colony optimization; Chemical engineering; Chemistry; Distributed computing; Genetic algorithms; Heuristic algorithms; Maintenance engineering; Parameter estimation; Petroleum; Thermal engineering; ant genetic algorithm; heavy oil thermal cracking model; immune mechanism;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2008. ICNC '08. Fourth International Conference on

Conference_Location

Jinan

Print_ISBN

978-0-7695-3304-9

Type

conf

DOI

10.1109/ICNC.2008.780

Filename

4666810