Abstract
Search theory, one of the oldest areas of operations research, has continuously provided powerful support for planning efficient search operations in real-world applications. The aim of the searcher is to efficiently find the target in his search operations, and analysts are asked to offer theoretical bases for optimal planning of the search. The search theory makes many valuable contributions to the study of the optimal solutions of search problems by applying optimization techniques, such as nonlinear programming, fractional programming, dynamic programming, calculus of variations, and the maximum principle of optimal control theory. We begin by providing a short survey of search theory.KeywordsDetection ProbabilityTarget SpaceSearch ProblemMarkov Chain ModelFractional ProgrammingThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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