Detection of a Markovian target with optimization of the search efforts under generalized linear constraints
研究如何分配搜索资源以检测遵循马尔可夫运动的目标，在资源更新受广义线性约束时，提出新的最优性方程和基于FAB方法的求解算法。
Abstract This paper deals with search for a target following a Markovian movement or a conditionally deterministic motion. The problem is to allocate the search efforts, when search resources renew with generalized linear constraints. The model obtained is extended to resource mixing management. New optimality equations of de Guenin 's style are obtained. Practically, the problem is solved by using an algorithm derived from the FAB method. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 117–142, 2002; DOI 10.1002/nav.10009