Title :
On effects-based approach to planning
Author_Institution :
Command Autom. Dept., Naval Univ. of Eng., Wuhan, China
Abstract :
In military domain, the Effects-based mission planning problem belongs to dynamic game problem in condition of no full information. The effects-based planning was firstly analyzed in this paper. A DBN model of mission environment was established based on these. By adopting signal-to-noise ratio factor, a new strategy optimization algorithm was proposed which combines Genetic Algorithm and Monte Carlo simulation. The simulation results show the effectivity and validity of the DBN model. The course of actions got by the strategy optimization algorithm was robust.
Keywords :
Bayes methods; Monte Carlo methods; game theory; genetic algorithms; planning; DBN model; Monte Carlo simulation; dynamic Bayesian network; dynamic game problem; effects-based approach; effects-based mission planning problem; genetic algorithm; military domain; signal-to-noise ratio factor; strategy optimization algorithm; Bayesian methods; Conferences; Electronic mail; Genetic algorithms; Heuristic algorithms; Planning; Signal to noise ratio; Dynamic Bayesian Network; Effects-based Operations; Genetic Algorithm; Signal-to-noise ratio;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
