Detection of a Markovian target with optimization of the search efforts under generalized linear constraints

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 optimali...

Full description

Saved in:
Bibliographic Details
Published inNaval research logistics Vol. 49; no. 2; pp. 117 - 142
Main Authors Dambreville, Frédéric, Le Cadre, Jean-Pierre
Format Journal Article
LanguageEnglish
Published New York Wiley Subscription Services, Inc., A Wiley Company 01.03.2002
Subjects
Algorithms
Constraint theory
detection
Markov processes
Markovian movement
Mathematical models
Optimization
Probability
search theory
sensor management
Online AccessGet full text

Cover

More Information
Summary: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
Bibliography:ArticleID:NAV10009
ark:/67375/WNG-10PHZWJV-K
istex:E56EA682523F7EEBF2FB43414C146D2818C6AA4B
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0894-069X
1520-6750
DOI:10.1002/nav.10009