The optimization design of C2 Organization Communication Network based on nested genetic algorithm

Author

Mu, Liang ; Xiu, Bao-xin ; Huang, Jin-cai ; Yao, Li

Author_Institution

Sch. of Inf. Syst. & Manage., Nat. Univ. of Defence Technol., Changsha, China

Volume

4

fYear

2009

fDate

12-15 July 2009

Firstpage

1877

Lastpage

1884

Abstract

The task information flow oriented C2 organization communication network design problem (TIFOCOCNDP) is investigated. The basic information flow in the C2 organization is analyzed, then the performance measures and the calculation model of C2 organization communication network are studied. A constrained optimization model for TIFOCOCNDP is built, and a solution method based on genetic algorithm is proposed. Afterwards, a nested genetic algorithm for solving this problem is designed, analysis and design work involving encoding, crossover, mutation, fitness function construction and algorithm nestification, etc. is carried out. In the final section of the paper, a case is presented to test the feasibility of the solution method. The validity of the genetic algorithm is analyzed through computational experiments.

Keywords

genetic algorithms; information management; organisational aspects; C2 organization communication network design problem; computational experiments; constrained optimization model; nested genetic algorithm; optimization design; task information flow; Algorithm design and analysis; Communication networks; Constraint optimization; Design optimization; Encoding; Fluid flow measurement; Genetic algorithms; Genetic mutations; Information analysis; Performance analysis; Nested genetic algorithm; Organization communication network; Task information flow;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2009 International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3702-3

Electronic_ISBN

978-1-4244-3703-0

Type

conf

DOI

10.1109/ICMLC.2009.5212200

Filename

5212200