Title :
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
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;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.780
