Operations Research for Unmanned Systems.

Intro -- Title Page -- Table of Contents -- About the Contributors -- Acknowledgements -- 1 Introduction -- 1.1 Introduction -- 1.2 Background and Scope -- 1.3 About the Chapters -- References -- 2 The In-Transit Vigilant Covering Tour Problem for Routing Unmanned Ground Vehicles -- 2.1 Introduction -- 2.2 Background -- 2.3 CTP for UGV Coverage -- 2.4 The In-Transit Vigilant Covering Tour Problem -- 2.5 Mathematical Formulation -- 2.6 Extensions to Multiple Vehicles -- 2.7 Empirical Study -- 2.8 Analysis of Results -- 2.9 Other Extensions -- 2.10 Conclusions -- Author Statement -- References -- 3 Near-Optimal Assignment of UAVs to Targets Using a Market-Based Approach -- 3.1 Introduction -- 3.2 Problem Formulation -- 3.3 Literature -- 3.4 The Market-Based Solution -- 3.5 Results -- 3.6 Recommendations for Implementation -- 3.7 Conclusions -- Appendix 3.A A Mixed Integer Linear Programming (MILP) Formulation -- References -- 4 Considering Mine Countermeasures Exploratory Operations Conducted by Autonomous Underwater Vehicles -- 4.1 Background -- 4.2 Assumptions -- 4.3 Measures of Performance -- 4.4 Preliminary Results -- 4.5 Concepts of Operations -- 4.6 Optimality with Two Different Angular Observations -- 4.7 Optimality with N Different Angular Observations -- 4.8 Modeling and Algorithms -- 4.9 Random Search Formula Adapted to AUVs -- 4.10 Mine Countermeasures Exploratory Operations -- 4.11 Numerical Results -- 4.12 Non-uniform Mine Density Distributions -- 4.13 Conclusion -- Appendix 4.A Optimal Observation Angle between Two AUV Legs -- Appendix 4.B  Probabilities of Detection -- References -- 5 Optical Search by Unmanned Aerial Vehicles -- 5.1 Introduction -- 5.2 Search Planning for Unmanned Sensing Operations -- 5.3 Results -- 5.4 Conclusions -- Acknowledgments -- References -- 6 A Flight Time Approximation Model for Unmanned Aerial Vehicles.

Nomenclature -- 6.1 Introduction -- 6.2 Problem Statement -- 6.3 Literature Review -- 6.4 Flight Time Approximation Model Development -- 6.5 Additional Task Types -- 6.6 Adding Wind Effects -- 6.7 Computational Expense of the Final Model -- 6.8 Conclusions and Future Work -- Acknowledgments -- References -- 7 Impacts of Unmanned Ground Vehicles on Combined Arms Team Performance -- 7.1 Introduction -- 7.2 Study Problem -- 7.3 Study Methods -- 7.4 Study Results -- 7.5 Discussion -- References -- 8 Processing, Exploitation and Dissemination -- 8.1 Introduction -- 8.2 Background -- 8.3 Analysis -- 8.4 Conclusion -- Acknowledgments -- Appendix 8.A -- References -- 9 Analyzing a Design Continuum for Automated Military Convoy Operations -- 9.1 Introduction -- 9.2 Definition Development -- 9.3 Automation Continuum -- 9.4 Mathematically Modeling Human Input Proportion (H) versus System Configuration -- 9.5 Mathematically Modeling Robotic Decision-Making Ability (R) versus System Configuration -- 9.6 Mathematically Modeling H and R -- 9.7 Conclusion -- 9.A System Configurations -- 10 Experimental Design for Unmanned Aerial Systems Analysis -- 10.1 Introduction -- 10.2 Some UAS History -- 10.3 Statistical Background for Experimental Planning -- 10.4 Planning the UAS Experiment -- 10.5 Applications of the UAS Planning Guidelines -- 10.6 Conclusion -- Acknowledgments -- Disclaimer -- References -- 11 Total Cost of Ownership (TOC) -- 11.1 Introduction -- 11.2 Life Cycle Models -- 11.3 Cost Estimation Methods -- 11.4 UMAS Product Breakdown Structure -- 11.5 Cost Drivers and Parametric Cost Models -- 11.6 Considerations for Estimating Unmanned Ground Vehicle Costs -- 11.7 Additional Considerations for UMAS Cost Estimation -- 11.8 Conclusion -- Acknowledgments -- References -- 12 Logistics Support for Unmanned Systems -- 12.1 Introduction.

12.2 Appreciating Logistics Support for Unmanned Systems -- 12.3 Challenges to Logistics Support for Unmanned Systems -- 12.4 Grouping the Logistics Challenges for Analysis and Development -- 12.5 Further Considerations -- 12.6 Conclusions -- References -- 13 Organizing for Improved Effectiveness in Networked Operations -- 13.1 Introduction -- 13.2 Understanding the IACM -- 13.3 An Agent-Based Simulation Representation of the IACM -- 13.4 Structure of the Experiment -- 13.5 Initial Experiment -- 13.6 Expanding the Experiment -- 13.7 Conclusion -- Disclaimer -- References -- 14 An Exploration of Performance Distributions in Collectives -- 14.1 Introduction -- 14.2 Who Shoots How Many? -- 14.3 Baseball Plays as Individual and Networked Performance -- 14.4 Analytical Questions -- 14.5 Imparity Statistics in Major League Baseball Data -- 14.6 Conclusions -- Acknowledgments -- References -- 15 Distributed Combat Power -- 15.1 Introduction -- 15.2 Salvo Theory -- 15.3 Salvo Warfare with Unmanned Systems -- 15.4 The Salvo Exchange Set and Combat Entropy -- 15.5 Tactical Considerations -- 15.6 Conclusion -- References -- Index -- End User License Agreement.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.