An Improved Differential Evolution Algorithm and its Application in Reaction Kinetic Parameters Estimation

DOI

10.2991/iske.2007.230How to use a DOI?

Keywords

Differential Evolution Algorithm, Alopex, Parameters Estimation

Abstract

Differential evolution algorithm (DE) is a simple efficient optimization technique, but it is easily trapped in the local optima. This paper presents an improved differential algorithm (IDE) based on Alopex (Algorithms of Pattern Extraction) where “noise” strategy according to the learning experience and memory selection were used. In order to seek for better result Alopex operator contracts searching area self-adaptively during iteration process. The performance of IDE is tested by several benchmark functions. Results show that the IDE algorithm overcomes the disadvantages of the original DE and possessed higher precision. Finally IDE is successfully applied to reaction kinetic parameters estimation.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dan Xu
AU  - Shaojun Li
AU  - Feng Qian
PY  - 2007/10
DA  - 2007/10
TI  - An Improved Differential Evolution Algorithm and its Application in Reaction Kinetic Parameters Estimation
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1356
EP  - 1361
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.230
DO  - 10.2991/iske.2007.230
ID  - Xu2007/10
ER  -