This thesis addresses the problem of optimal evacuation of a naval ship we propose the use of a dynamic escape route system which employs a signaling system to adapt the emergency egress process to the instigating contingency the evacuation process is represented by a nonlinear network optimization model with an objective function that integrates two conflicting goals the average evacuation time and the ships integrity the nonlinearity in the model results from a speed being a . This thesis addresses the problem of optimal evacuation of a naval ship we propose the use of a dynamic escape route system which employs a signaling system to adapt the emergency egress process to the instigating contingency the evacuation process is represented by a nonlinear network optimization model with an objective function that integrates two conflicting goals the average evacuation . This thesis addresses the problem of optimal evacuation of a naval ship we propose the use of a dynamic escape route system which employs a signaling system to adapt the emergency egress process to the instigating contingency the evacuation process is represented by a nonlinear network optimization model. Abstract we propose a dynamic escape route system for emergency evacuation of a naval ship the system employs signals that adapt to the causative contingency and the crews physical distribution about the ship a mixed integer nonlinear programming model with underlying network structure optimizes the evacuation process the networks nodes represent compartments closures eg doors hatches and intersections while arcs represent various types of passageways the . We propose a dynamic escape route system for emergency evacuation of a naval ship the system employs signals that adapt to the causative contingency and the crews physical distribution about the ship a mixed integer nonlinear programming model with underlying network structure optimizes the evacuation process the networks nodes represent compartments closures eg doors hatches