DocumentCode
2648864
Title
Application of the bacterial chemotaxis algorithm for solving nonlinear optimal control problem
Author
Ren, Ping ; Gao, Liqun ; Li, Nan
Author_Institution
Sch. of Inf. Eng., Shenyang Univ., Shenyang, China
fYear
2012
fDate
23-25 May 2012
Firstpage
899
Lastpage
902
Abstract
In this paper, the nonlinear optimal control problem is formulated as a multi-objective mathematical optimization problem. Bacterial Chemotaxis (BC) algorithm is one of the new heuristic algorithms based on colony intelligence. The BC optimization algorithm is introduced for the first time in solving the nonlinear optimal control problem. A case on the nonlinear optimal control problem is presented to show the methodology´s feasibility and efficiency, compared with the existing optimal planning methods, the search time of the BC optimization algorithm is shorter and the result is close to the ideal solution, simultaneously.
Keywords
nonlinear control systems; optimal control; optimisation; BC optimization algorithm; bacterial chemotaxis algorithm; colony intelligence; heuristic algorithms; multiobjective mathematical optimization problem; nonlinear optimal control problem; optimal planning methods; Algorithm design and analysis; Biological system modeling; Educational institutions; Heuristic algorithms; Microorganisms; Optimal control; Optimization; Application; Bacterial chemotaxis algorithm; Multi-objective mathematical optimization problem; Nonlinear optimal control problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6242990
Filename
6242990
Link To Document