Constrained minimax optimization of continuous search efforts for the detection of a stationary target

被引:1
作者
Dambreville, Frederic
Le Cadre, Jean-Pierre
机构
[1] Delegat Gen Armement, F-94114 Arcueil, France
[2] Inst Rech Informat & Syst Aleatoires, CNRS, F-35042 Rennes, France
关键词
sensor and resource management; target detection; search game; search theory; resource allocation;
D O I
10.1002/nav.20229
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Analytical resolution of search theory problems, as formalized by B.O. Koopman, may be applied with some model extension to various resource management issues. However, a fundamental prerequisite is the knowledge of the prior target density. Though this assumption has the definite advantage of simplicity, its drawback is clearly that target reactivity is not taken into account. As a preliminary step towards reactive target study stands the problem of resource planning under a min-max game context. This paper is related to Nakai's work about the game planning of resources for the detection of a stationary target. However, this initial problem is extended by adding new and more general constraints, allowing a more realistic modeling of the target and searcher behaviors. (c) 2007 Wiley Periodicals, Inc. Naval Research Logistics 54:589-601, 2007
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收藏
页码:589 / 601
页数:13
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