Title :
Research on Plant Growth Simulation Algorithm based on Finite Element Method
Author :
Li Tong ; Su Weiling
Author_Institution :
Dalian Univ. of Technol., Dalian
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;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.484