Towards Incorporating Artificial Intelligence in the Mission Planning Process

Kane, S., Moody, V, and Harradon, M. HCI International, Washington, DC (June 2021) While there are numerous powerful tools to support Navy mission planning, the mission planning process still remains a hybrid planning activity across human operators and advanced tools. Advances in artificial intelligence (AI) have seen an increase in interest and use in the mission planning environment.  Yet traditional […]

Understanding Optimality in Multi-Objective ISR Mission Planning for Tactical UAVs

Stouch1, D., Johnson2, J., and Tweddale2,, S. Proceedings of the 81.2 Military Operations Research Society (MORS) Symposium, Alexandria, VA, (June 2013) The dependability, persistence, and versatility of unmanned aerial systems (UAS) have made them indispensable assets for providing intelligence, surveillance, and reconnaissance (ISR) over the battlefield. As larger constellations of heterogeneous, multi-purpose UAS are tasked […]

Dynamic Replanning on Demand of UAS Constellations Performing ISR Missions

Stouch, D., Zeidman, E., Callahan, W., and McGraw, K. Proceedings of SPIE Defense & Security, Orlando, FL (April 2011) Unmanned aerial systems (UAS) have proven themselves to be indispensable in providing intelligence, surveillance, and reconnaissance (ISR) over the battlefield. Constellations of heterogeneous, multi-purpose UAS are being tasked to provide ISR in an unpredictable environment. This necessitates […]

Applications of Multi-objective Evolutionary Algorithms to Air Operations Mission Planning

Rosenberg, B., Richards, M.  Langton, J., Tenenbaum, S., and Stouch, D. Presented during the Defense Applications of Computational Intelligence (DACI) Workshop at the 2008 Genetic and Evolutionary Computation Conference (GECCO), Atlanta, GA (2008) Air operations mission planning is a complex task, growing ever more complex as the number, variety, and interactivity of air assets increases. Mission planners are […]

Multi-Objective Optimization to Support Mission Planning for Constellations of Unmanned Aerial Systems

Tenenbaum, S., Stouch, D., McGraw, K.,  and Fichtl, T. Proceedings of SPIE Defense & Security, Orlando, FL (2008) Unmanned aerial vehicles (UAVs) have proven themselves indispensable in providing intelligence, reconnaissance, and surveillance (ISR). We foresee a future where constellations of multi-purpose UAVs will be tasked to provide ISR in an unpredictable environment. Automated systems will […]

A Market-based Optimization Approach to Sensor and Resource Management

Schrage, D., Farnham, C., and Gonsalves, P. Proceedings of SPIE Defense & Security, Orlando, FL (April, 2006) Dynamic resource allocation for sensor management is a problem that demands solutions beyond traditional approaches to optimization. Market-based optimization applies solutions from economic theory, particularly game theory, to the resource allocation problem by creating an artificial market for […]

Applying Evolutionary Multi-Objective Optimization to Mission Planning for Time-Sensitive Targets

Rosenberg, B., Burge, J., and Gonsalves, P. Genetic and Evolutionary Computation Conference (GECCO) 2005, Washington, DC (June 2005) This paper describes an approach to air campaign mission planning using evolutionary multi-objective optimization. With the landscape of warfare constantly changing, timely and accurate employment of air assets for military operations has become even more crucial. Of […]