By Topic

Optimization of Parameters of the Chemic Kinetic Model by Improved Genetic Algorithms

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Han Rui-feng ; Comput. Sci. Dept., Xinzhou Teachers Univ., Xinzhou ; Yang Yu-li ; Zhang Yong-kui

Detailed kinetic model is one of the most important basic research items that the chemic synthesis techniques will have been commercialized from laboratory. A great breakthrough has been made in the detailed mechanistic kinetics of the chemic synthesis, but LM (Levenberg-Marquardt) algorithm still plays a leading role in estimating parameters of the kinetic model. As an unlimited algorithm, LM algorithm often makes an erroneous conclusion because of parameters exceeding limit. Its computation deeply depends on the initial point, and easily falls into non-global optima. It is a new attempt to apply GA (Genetic Algorithm) to the solutions of optimization problems of FTS (Fischer-Tropsch Synthesis) parameters. After a number of systemic tests, comparatively satisfying results of parameters-estimating and a lot of precious experience on GA have been obtained. The detailed kinetic model of FTS is provided by Institute of Coal Chemistry, Chinese Academy of Sciences.

Published in:

Intelligent Information Technology and Security Informatics, 2009. IITSI '09. Second International Symposium on

Date of Conference:

23-25 Jan. 2009