Multi-objective genetic algorithms disrupt criminal networks with fragmentation levels comparable to centrality methods but at substantially lower operational costs by explicitly trading off network damage against spatial distance to bases.
Multi-agent behavioral control system using deep reinforcement learning,
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Efficient Disruption of Criminal Networks through Multi-Objective Genetic Algorithms
Multi-objective genetic algorithms disrupt criminal networks with fragmentation levels comparable to centrality methods but at substantially lower operational costs by explicitly trading off network damage against spatial distance to bases.