Fire Assignment Optimization of Network-Centric Artillery Combat Based on Genetic Algorithm

In order to construct optimal fire assignment mechanism and improve artillery combat ability, artillery fire striking system formation and its fire assignment target model are established and analyzed, using genetic algorithm (GA) to study fire optimal assignment, dynamical arrangement and combination of various cannon, rocket launcher, anti-tank missile and ground to ground campaign tactics missile units. By fire assignment GA analysis and a combat test simulation, artillery fire application mode is more accurate and reliable, and its who operational efficiency are improved greatly. This research can provide good decision-making for constructing network-centric warfare joint fire striking system design.