Research on Plant Growth Simulation Algorithm based on Finite Element Method

Author

Li Tong ; Su Weiling

Author_Institution

Dalian Univ. of Technol., Dalian

fYear

2007

fDate

5-7 Sept. 2007

Firstpage

419

Lastpage

419

Abstract

Plant growth simulation algorithm aiming at the global optimization of integer programming is a kind of bionics random algorithm that occurs in nature. Characterizing plant phototropism, the algorithm regards the feasible region of integer programming as plant growth environment, and determines the growth probability on different growth points according to the changes of the object function. It then makes power model simulating plant rapid growth towards the light (global optimization). Further plant growth simulation algorithm based on finite element is set up in this paper in order to solve the large integer programming problems.

Keywords

agriculture; finite element analysis; integer programming; bionics random algorithm; finite element method; global optimization; growth probability; integer programming; plant growth simulation algorithm; plant phototropism characterization; power model simulating plant; Biological system modeling; Biomimetics; Computational modeling; Finite element methods; Fractals; Light sources; Linear programming; Logistics; Plants (biology); Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on

Conference_Location

Kumamoto

Print_ISBN

0-7695-2882-1

Type

conf

DOI

10.1109/ICICIC.2007.484

Filename

4428061