Towards the Integration of Multi-Attribute Optimization and Game Theory for Border Security Patrolling Strategies

The problem of border security is extremely complex, due to both the adversarial nature of the problem and the many different objectives of the border patrol, illegal entrants, and smugglers. We present a simplified model of the border patrolling problem, and describe initial progress towards combining game theory and multi-attribute optimization to find effective patrolling strategies in this domain.