GENE-BASED MANAGEMENT FOR HOMOCYSTEINEMIA

Not Available The Gulf War demonstrated the changing nature of modern warfare. In modern warfare, a great deal of fire power is directed at a battle space compressed in space and time. Assets such as cruise missiles and aircraft are concentrated on a relatively small number of platforms. Thus, the complexity of mission planning is increased due to: (i) the trend towards jointness and (ii) using missiles and aircraft missile systems that are sophisticated in their capabilities. This complexity renders conventional mission planning systems inadequate to operational needs. Thus, the area of mission and route planning is fertile for the application of genetic algorithms and genetics based machine learning approaches. Phase I will demonstrate the application of a genetics based route planner for the multiple-mission, multiple-platforms scenario. The success of Phase I is largely assured by the previous work done by the Scientific Systems and Boeing in applying genetic algorithms to cruise missile route planning. Phase II will continue the Phase I development, and demonstrate and deliver an operational genetics based auto-router to the Navy. It will also develop a potential commercially viable Genetics-Based Machine Learning Toolbox for routing applications. In addition we will make Phase III plans for implementing a genetics based auto-router on the TLAM command and launch system.