Damage Maximization for Combat Network With Limited Costs

Maximizing the damage by attacking specific nodes of combat network can efficiently disrupt enemies’ defense capability, protect our critical units, and enhance resistance to destruction system-of-system (SOS). However, modeling is not practical enough. In this paper, we report a more realistic model study maximization problems. By analyzing situations, cost redefined based on topology functional characteristics nodes. The effect also updated according operational capability. Hence, cost-limited for constructed. addition, obtain optimal solutions, an improved genetic algorithm (IPGA) prior information proposed. As result, method has significant advantage in feasibility effectiveness compared with other algorithms experiments. attack pattern convergence complexity proposed are further explored. algorithm, as well mined patterns, provide support military decisions.