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Titlebook: Optimal Search for Moving Targets; Lawrence D. Stone,Johannes O. Royset,Alan R. Washb Book 2016 Springer International Publishing Switzerl

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發(fā)表于 2025-3-21 17:55:57 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Optimal Search for Moving Targets
編輯Lawrence D. Stone,Johannes O. Royset,Alan R. Washb
視頻videohttp://file.papertrans.cn/703/702916/702916.mp4
概述Follow-up to the 1975 award-winning Theory of Optimal Search.Authors are three of the most respected names in Operations Research.Includes supplementary material:
叢書名稱International Series in Operations Research & Management Science
圖書封面Titlebook: Optimal Search for Moving Targets;  Lawrence D. Stone,Johannes O. Royset,Alan R. Washb Book 2016 Springer International Publishing Switzerl
描述.This book begins with a review of basic results in optimal search for a stationary target. It then develops the theory of optimal search for a moving target, providing algorithms for computing optimal plans and examples of their use. Next it develops methods for computing optimal search plans involving multiple targets and multiple searchers with realistic operational constraints on search movement. These results assume that the target does not react to the search. In the final chapter there is a brief overview of mostly military problems where the target tries to avoid being found as well as rescue or rendezvous problems where the target and the searcher cooperate.?..Larry Stone wrote his definitive book .Theory of Optimal Search.?in 1975, dealing almost exclusively with the stationary target search problem. Since then the theory has advanced to encompass search for targets that move even as the search proceeds, and computers have developed sufficient capability to employ the improved theory. In this book, Stone joins Royset and Washburn to document and explain this expanded theory of search. The problem of how to search for moving targets arises every day in military, rescue, la
出版日期Book 2016
關(guān)鍵詞Brown‘s Alorithm; Continuous Space and Time; Discrete Space and Time; Generalized Search Optimization; M
版次1
doihttps://doi.org/10.1007/978-3-319-26899-6
isbn_softcover978-3-319-80038-7
isbn_ebook978-3-319-26899-6Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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978-3-319-80038-7Springer International Publishing Switzerland 2016
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International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/o/image/702916.jpg
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Search for a Moving Target in Discrete Space and Time, function is exponential, optimal moving target plans can be obtained by computing a sequence of optimal stationary target plans. The algorithm developed to find these plans is a special case of the more general Forward-And-Backward (FAB) algorithm which is also presented in this chapter.
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Search for a Stationary Target,er provides an overview of the standard models and results for optimal search for a stationary target. It discusses search sensors and some basic notions of detection modeling, including lateral range curves, sweep widths, and detection functions. It defines the search space and the prior distributi
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發(fā)表于 2025-3-23 09:13:32 | 只看該作者
Search for a Moving Target in Discrete Space and Time, function is exponential, optimal moving target plans can be obtained by computing a sequence of optimal stationary target plans. The algorithm developed to find these plans is a special case of the more general Forward-And-Backward (FAB) algorithm which is also presented in this chapter.
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