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Optimal Search for Moving Targets

Lawrence D Stone author Johannes O Royset author Alan R Washburn author

Format:Paperback

Publisher:Springer International Publishing AG

Published:24th Apr '18

Currently unavailable, and unfortunately no date known when it will be back

Optimal Search for Moving Targets cover

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, law enforcement, and border patrol operations. 

“This monograph contains an excellent review of the basic results in optimal search for stationary and moving targets. … The monograph represents a detailed, self-contained, informative resource for the study of optimal search problems for moving targets, which makes it worth reading for anyone interested in the topic!” (Alexander E. Guterman, Mathematical Reviews, February, 2017)

ISBN: 9783319800387

Dimensions: unknown

Weight: 454g

211 pages

Softcover reprint of the original 1st ed. 2016