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

被引：0
|
作者：
Wang, Jian
Ren, Weijian
Liu, Dan
Zhang, Jianqiu
机构：
来源：
ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 1, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICNC.2008.780
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：56 / 60
页数：5
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