Title :
On Finding Effective Course of Action under Combinational Constraints in Influence Nets
Author :
Zhu Yan-guang ; Dong-liang Qin ; Yi-fan Zhu ; Xing-ping Cao
Author_Institution :
Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
A military decision maker is typically confronted by the task of determining optimal course of action under some constraints in a complex uncertain situation. Thus, a new class of Combinational Constraint Optimization Problem (CCOP) is formalized. The object of CCOP is modeled by Influence net, and the constraints of CCOP relate to resource and collaboration. CCOP comprising Pseudo-Boolean and Boolean constraints is a 0̅1 integer optimization with unobvious optimal object. A novel method of combining Genetic Algorithm with Pseudo-Boolean constraint processing is proposed to solve CCOP. Finally, a numerical experiment is given to demonstrate the effectiveness of above method.
Keywords :
Boolean algebra; genetic algorithms; integer programming; military computing; Boolean constraints; CCOP; Pseudo-Boolean constraint processing; combinational constraint optimization problem; genetic algorithm; influence nets; integer optimization; military decision maker; Collaboration; Educational institutions; Gallium; Genetic algorithms; Information systems; Optimization; Weapons;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
DOI :
10.1109/ICIECS.2010.5678255