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.
Disrupting and dismantling dark networks: Lessons from social network analysis and law enforcement simulations,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.