Autonomous search (59 Ergebnisse)

Heft. Zustand: Gut. 32 Seiten; Einbandkante rechts unten abgerissen; Das Exemplar befindet sich in einem ordentlich erhaltenen Zustand; Buch in ENGLISCHER Sprache !!! Sprache: Englisch Gewicht in Gramm: 50.

Paperback. Zustand: New. Illustrated.

Zustand: Fine. Used book that is in almost brand-new condition. May contain a remainder mark. Better World Books: Buy Books. Do Good.

paperback. Zustand: Fine. Brand New! Sealed in publisher's shrinkwrap. Never opened! No signs of wear.

Zustand: New.

Zustand: New.

Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: Good. Volume 7. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,450grams, ISBN:0820439444.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Neuware - This research investigates the effectiveness of autonomous wide area search munitions using cooperative and non-cooperative behavior algorithms under various scenarios. The scenarios involve multiple autonomous munitions searching for an unknown number of targets with different priorities at unknown locations. For the cooperative cases, communications are allowed between the munitions to help locate, identify, and decide to pursue an attack on a target or to continue searching the rest of the battlefield. For non cooperative cases, munitions independently search, detect, identify and decide to attack an identified target or continue to search. Performance of the cooperative munitions depends on numerous parameters such as target types, number, mobility, battlefield characteristics, warhead lethality, decision objectives, and variability in the battlefield. The results were examined under characteristics of warhead lethality, ATR capability, false target attack rate, number of munitions deployed in the simulation, and search weight. Cooperative munitions demonstrated significant decrease in the number of killed targets. Cooperative behavior reduced the number of false target attacks significantly.…

Taschenbuch. Zustand: Neu. Neuware - This thesis considers the optimal employment of a wide area search munition in a battlespace where a target is known to be uniformly distributed among false targets which are Poisson distributed. The Poisson distribution's parameter is obtained from readily available battlespace intelligence. This work formulates and solves the optimal control problem for deriving the optimal sensor threshold schedule in order to maximize the probability of attacking the target during the battlespace sweep while constraining the probability of attacking a false target. The e ciency gained by optimally varying the sensor threshold is compared against the performance achieved with a static, optimum sensor threshold setting. The Weapon Operating Characteristic, the relationship between maximum achievable probability of target attack and maximum allowable probability of false target attack, is developed.…

Taschenbuch. Zustand: Neu. Neuware - The purpose of this research is to investigate the effectiveness of wide-area search munitions in various scenarios using different cooperative behavior algorithms. The general scenario involves multiple autonomous munitions searching for an unknown number of targets of different priority in unknown locations. Three cooperative behavior algorithms are used in each scenario: no cooperation, cooperative attack only, and cooperative classification and attack. In the cooperative cases, the munitions allocate tasks on-line as a group, using linear programming techniques to determine the optimum allocation. Each munition provides inputs to the task allocation routine in the form of probabilities of successfully being able to complete the various tasks. These probabilities of success are based on statistical Poisson field theory. Weighting parameters are applied to the probabilities of success so that optimum settings can be determined via Response Surface Methodology. Results are compared within and across the various scenarios. Initial results did not reflect expected behavior (due to poor choice of responses to optimize). Experiments were modified and more desirable results obtained. In general, cooperative engagement alone attacks and kills fewer targets than no cooperation. Cooperative classification however, kills fewer targets at low false target attack rates (less than 0.005/km2), but outperforms the other algorithms as the false target attack rate increases. This is due primarily to the fact that cooperative classification significantly reduces and stabilizes the effective false target attack rate.…

Hardcover. Zustand: Good. Hardcover, xv + 305 pages, NOT ex-library. Front blank endpaper stuck to the front board; neatly removed title page. Book is clean and bright with unmarked text, free of inscriptions and stamps, firmly bound. Issued without a dust jacket. -- Contents: 1 An Introduction to Autonomous Search [What Is an Autonomous Solver? (Architecture & Configuration of the Solver); Outline and Overview of the Book; Guideline for Readers]; Part I Off-line Configuration 2 Evolutionary Algorithm Parameters and Methods to Tune Them [Background and Objectives; Evolutionary Algorithms, Parameters, Algorithm Instances; Algorithm Design and Parameter Tuning; Utility, Algorithm Performance, Test Functions; Algorithmic Approaches to Parameter Tuning; Successful Case Studies on Tuning Evolutionary Algorithms; Considerations for Tuning EAs; Conclusions and Outlook] 3 Automated Algorithm Configuration and Parameter lining [Racing Procedures ; ParamlLS; Sequential Model-Based Optimisation; Other Approaches; Conclusions and Future Work] 4 Case-Based Reasoning for Autonomous Constraint Solving [Case-Based Reasoning; Case-Based Reasoning and Search; CPHYDRA: A Case-Based Portfolio Constraint Solver; Concluding Remarks] 5 Learning a Mixture of Search Heuristics [Machine Learning and Mixtures of Experts; Constraint Satisfaction and Heuristic Search; Search with More than One Heuristic; ACE; Techniques that Improve Learning; Results; Conclusions and Future Work]; Part II On-line Control 6 An Investigation of Reinforcement Learning for Reactive Search Optimization [Reinforcement Learning for Optimization; Reinforcement Learning and Dynamic Programming Basics; Reactive SAT/MAX-SAT Solvers; RL-Based Approach for Reactive SAT/MAX-SAT Solvers; Experimental Results] 7 Adaptive Operator Selection and Management in Evolutionary Algorithms [Parameter Setting in Evolutionary Algorithms; Adaptive Operator Selection; Adaptive Operator Management] 8 Parameter Adaptation in Ant Colony Optimization [Ant Colony Optimization; Overview of Parameter Adaptation Approaches; Parameter Adaptation in ACO; Experimental Investigation of Fixed Parameter Settings; Prescheduled Parameter Variation for MMAS]; Part III New Directions and Applications 9 Continuous Search in Constraint Programming [Background and Notations; Continuous Search in Constraint Programming; Dynamic Continuous Search; Experimental Validation; Related Works; Discussion and Perspectives] 10 Control-Based Clause Sharing in Parallel SAT Solving [Introduction; Previous Works; Technical Background; Control-Based Clause Sharing in Parallel SAT Solving; Evaluation; Conclusion] 11 Learning Feature-Based Heuristic Functions [Introduction; Search Framework; Learning Heuristic Functions; Feature Combination as a Linear Program; Approximation Bounds; Empirical Results; Conclusion; References].…

Taschenbuch. Zustand: Neu. Neuware - Analytic system effectiveness measures are derived using applied probability theory. The effectiveness measures handle time-varying parameters which characterize the battle space environment and the performance of the system. This allows the formulation and solution of optimization problems that maximize the probability of target attacks while at the same time constraining the probability of false target attacks.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.…

Zustand: New. KlappentextrnrnThe purpose of this study is to investigate how a simulation model can accurately represent the performance of the autonomous wide area search munitions, and to find the effectiveness of the cooperative behavior on the autonomous .

Zustand: New. KlappentextrnrnThis research investigates the effectiveness of autonomous wide area search munitions using cooperative and non-cooperative behavior algorithms under various scenarios. The scenarios involve multiple autonomous munitions searching.

Zustand: New. KlappentextrnrnThis thesis considers the optimal employment of a wide area search munition in a battlespace where a target is known to be uniformly distributed among false targets which are Poisson distributed. The Poisson distribution s paramet.

Zustand: New. KlappentextrnrnThe problem being addressed is how to best find and engage an unknown number of targets in unknown locations (some moving) using multiple autonomous wide area search munitions. In this research cooperative behavior is being invest.

Zustand: New. KlappentextrnrnThe purpose of this research is to investigate the effectiveness of wide-area search munitions in various scenarios using different cooperative behavior algorithms. The general scenario involves multiple autonomous munitions searc.

Zustand: New. KlappentextrnrnAnalytic system effectiveness measures are derived using applied probability theory. The effectiveness measures handle time-varying parameters which characterize the battle space environment and the performance of the system. This.

Paperback. Zustand: Brand New. 2012 edition. 176 pages. 9.00x6.00x0.50 inches. In Stock.