Mission Route Planning With Multiple Aircraft And Targets Using Parallel A Algorithm
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Mission Route Planning With Multiple Aircraft And Targets Using Parallel A Algorithm
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Author : Ergin Sezer
language : en
Publisher:
Release Date : 2000-03-01
Mission Route Planning With Multiple Aircraft And Targets Using Parallel A Algorithm written by Ergin Sezer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-03-01 with Flight categories.
The general Mission Route Planning (MRP) Problem is the process of selecting an aircraft flight path in order to fly from a starting point through defended terrain to target(s), and return to a safe destination. MRP is a three- dimensional, multi-criteria path search. Planning of aircraft routes involves an elaborate search through numerous possibilities, which can severely task the resources of the system being used to compute the routes. Operational systems can take up to a day to arrive at a solution due to the combinatorial nature of the problem, which is not acceptable, because time is critical in aviation. Also, the information that the software is using to solve the MRP may become invalid during the computation. An effective and efficient way of solving the MRP with multiple aircraft and multiple targets is desired using parallel computing techniques. Processors find the optimal solution by exploring in parallel the MRP search space. With this distributed decomposition the time required for an optimal solution is reduced as compared to a sequential version. We have designed an effective and scalable MRP solution using a parallelized version of the A* search algorithm. Efficient implementation and extensive testing was done using MPI on clusters of workstations and PCs.
Multicriteria Mission Route Planning Using A Parallel A Search
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Author :
language : en
Publisher:
Release Date : 1994
Multicriteria Mission Route Planning Using A Parallel A Search written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.
The Mission Route Planning (MRP) Problem falls into the general class of multicriteria path search problems. Multiple criteria are evaluated to select an optimal aircraft mission route through a hostile environment. Criteria for distance travelled and radar exposure are combined into a single cost function for route evaluation. Radar calculations are performed dynamically. The A* search algorithm is applied to the MRP problem, and a parallel implementation is developed and tested. A unique combination of distributed OPEN lists with a global CLOSED list strategy produced fast execution times on the Paragon. Test cases for scenarios with 15 radars took less than 5 minutes with 16 processors. Measured performance is far superior to previous efforts.
Over 40 Publications Studies Combined Uas Uav Drone Swarm Technology Research
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Author :
language : en
Publisher: Jeffrey Frank Jones
Release Date :
Over 40 Publications Studies Combined Uas Uav Drone Swarm Technology Research written by and has been published by Jeffrey Frank Jones this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Over 3,800 total pages ... Just a sample of the studies / publications included: Drone Swarms Terrorist and Insurgent Unmanned Aerial Vehicles: Use, Potentials, and Military Implications Countering A2/AD with Swarming Stunning Swarms: An Airpower Alternative to Collateral Damage Ideal Directed-Energy System To Defeat Small Unmanned Aircraft System Swarms Break the Kill Chain, not the Budget: How to Avoid U.S. Strategic Retrenchment Gyges Effect: An Ethical Critique of Lethal Remotely Piloted Aircraft Human Robotic Swarm Interaction Using an Artificial Physics Approach Swarming UAS II Swarming Unmanned Aircraft Systems Communication Free Robot Swarming UAV Swarm Attack: Protection System Alternatives for Destroyers Confidential and Authenticated Communications in a Large Fixed-Wing UAV Swarm UAV Swarm Behavior Modeling for Early Exposure of Failure Modes Optimized Landing of Autonomous Unmanned Aerial Vehicle Swarms Mini, Micro, and Swarming Unmanned Aerial Vehicles: A Baseline Study UAV Swarm Operational Risk Assessment System SmartSwarms: Distributed UAVs that Think Command and Control Autonomous UxV's UAV Swarm Tactics: An Agent-Based Simulation and Markov Process Analysis A Novel Communications Protocol Using Geographic Routing for Swarming UAVs Performing a Search Mission Accelerating the Kill Chain via Future Unmanned Aircraft Evolution of Control Programs for a Swarm of Autonomous Unmanned Aerial Vehicles AFIT UAV Swarm Mission Planning and Simulation System A Genetic Algorithm for UAV Routing Integrated with a Parallel Swarm Simulation Applying Cooperative Localization to Swarm UAVS Using an Extended Kalman Filter A Secure Group Communication Architecture for a Swarm of Autonomous Unmanned Aerial Vehicles Braving the Swarm: Lowering Anticipated Group Bias in Integrated Fire/Police Units Facing Paramilitary Terrorism Distributed Beamforming in a Swarm UAV Network Integrating UAS Flocking Operations with Formation Drag Reduction Tracking with a Cooperatively Controlled Swarm of GMTI Equipped UAVS Using Agent-Based Modeling to Evaluate UAS Behaviors in a Target-Rich Environment Experimental Analysis of Integration of Tactical Unmanned Aerial Vehicles and Naval Special Warfare Operations Forces Target Acquisition Involving Multiple Unmanned Air Vehicles: Interfaces for Small Unmanned Air Systems (ISUS) Program Tools for the Conceptual Design and Engineering Analysis of Micro Air Vehicles Architectural Considerations for Single Operator Management of Multiple Unmanned Aerial Vehicles
Multi Objective Uav Mission Planning Using Evolutionary Computation
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Author : Adam J. Pohl
language : en
Publisher:
Release Date : 2008
Multi Objective Uav Mission Planning Using Evolutionary Computation written by Adam J. Pohl and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Drone aircraft categories.
Traveling Salesman Problem For Surveillance Mission Using Particle Swarm Optimization
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Author : Barry R. Secreat
language : en
Publisher:
Release Date : 2001-03-01
Traveling Salesman Problem For Surveillance Mission Using Particle Swarm Optimization written by Barry R. Secreat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-03-01 with categories.
The surveillance mission requires aircraft to fly from a starting point through defended terrain to targets and return to a safe destination (usually the starting point). The process of selecting such a flight path is known as the Mission Route Planning (MRP) Problem and is a three-dimensional, multi-criteria (fuel expenditure, time required, risk taken, priority targeting, goals met, etc.) path search. Planning aircraft routes involves an elaborate search through numerous possibilities, which can severely task the resources of the system being used to compute the routes. Operational systems can take up to a day to arrive at a solution due to the combinatoric nature of the problem. This delay is not acceptable because timeliness of obtaining surveillance information is critical in many surveillance missions. Also, the information that the software uses to solve the MRP may become invalid during computation. An effective and efficient way of solving the MRP with multiple aircraft and multiple targets is desired. One approach to finding solutions is to simplify and view the problem as a two-dimensional, minimum path problem. This approach also minimizes fuel expenditure, time required, and even risk taken. The simplified problem is then the Traveling Salesman Problem (TSP).
Multicriteria Mission Route Planning Using A Parallel A Search
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Author : Michael S. Gudaitis (CAPT, USAF.)
language : en
Publisher:
Release Date : 1994
Multicriteria Mission Route Planning Using A Parallel A Search written by Michael S. Gudaitis (CAPT, USAF.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Military missions categories.
Multi Objective Optimization In Computational Intelligence Theory And Practice
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Author : Thu Bui, Lam
language : en
Publisher: IGI Global
Release Date : 2008-05-31
Multi Objective Optimization In Computational Intelligence Theory And Practice written by Thu Bui, Lam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-31 with Technology & Engineering categories.
Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.
An Air Mission Planning Algorithm For A Theater Level Combat Model
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Author : Brian J. Griggs (MAJ, USAF.)
language : en
Publisher:
Release Date : 1994
An Air Mission Planning Algorithm For A Theater Level Combat Model written by Brian J. Griggs (MAJ, USAF.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Air defenses categories.
This thesis describes the development of an air mission planning algorithm for the Joint Staffs Future Theater Level Model (FTLM. The overall problem scope was to develop an algorithm to handle major factors bearing on the combat mission planning problem while providing hook-ups for the FTLM architecture. Other aspects of the problem included finding the appropriate level of detail, developing a fast solving technique, and attempting to use existing data. The problem was handled by using some ideas from existing aircraft allocation algorithms and by adding some new techniques. The proposed air mission planning algorithm supplies the optimum degree of force for campaign objectives by using a linear program (LP) to allocate the optimum number and type of aircraft and munitions against each target. The LP takes advantage of the force multiplying effects of mass and mutual support through its use of strike packages with SEAD and air-to-air escort. Additionally, a decision tree algorithm determines the best plan in light of the uncertainties of weather and weather forecasts. This air mission planning-algorithm omits many of the details in the actual aircraft tasking process, but provides fast, nearly optimal solutions which should approximate real world tasking results. Aerial warfare, Air Force operations, Linear programming, Mathematical models.
Multicriteria Network Routing Of Tactical Aircraft In A Threat Radar Environment
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Author :
language : en
Publisher:
Release Date : 1991
Multicriteria Network Routing Of Tactical Aircraft In A Threat Radar Environment written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Real-time route planning for tactical aircraft has established a requirement for analytical tools which prescribe optimal solutions. The Air Force Electronic Warfare Center has developed a computerized routing aid which enhances the ability to plan tactical flight missions under real-time constraints. The decision aid known as the Improved Many-on-Many (IMOM) allows the user to subjectively evaluate flight routes within enemy radar coverages. However, the mission planner is required to intuitively assesses the survivability risks associated for each user defined route. As an alternative to this method, the deterministic procedures of dynamic programming and the shortest path algorithms offer techniques which resolve optimal routes for single criteria networks. Unfortunately, the variety of independent constraints and criteria which are used to calculate satisfactory flight routes exceed the capability of conventional math programming to guarantee optimal solutions.
An Air Mission Planning Algorithm For A Theater Level Combat Model
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Author : Brian J. Griggs
language : en
Publisher:
Release Date : 1994
An Air Mission Planning Algorithm For A Theater Level Combat Model written by Brian J. Griggs and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Air defenses categories.
This thesis describes the development of an air mission planning algorithm for the Joint Staffs Future Theater Level Model (FTLM. The overall problem scope was to develop an algorithm to handle major factors bearing on the combat mission planning problem while providing hook-ups for the FTLM architecture. Other aspects of the problem included finding the appropriate level of detail, developing a fast solving technique, and attempting to use existing data. The problem was handled by using some ideas from existing aircraft allocation algorithms and by adding some new techniques. The proposed air mission planning algorithm supplies the optimum degree of force for campaign objectives by using a linear program (LP) to allocate the optimum number and type of aircraft and munitions against each target. The LP takes advantage of the force multiplying effects of mass and mutual support through its use of strike packages with SEAD and air-to-air escort. Additionally, a decision tree algorithm determines the best plan in light of the uncertainties of weather and weather forecasts. This air mission planning-algorithm omits many of the details in the actual aircraft tasking process, but provides fast, nearly optimal solutions which should approximate real world tasking results. Aerial warfare, Air Force operations, Linear programming, Mathematical models.
