Detection of a Markovian Target with Optimization of the Search Efforts under Generalized Linear Constraints
Résumé
This report 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 constraint- s. The model obtained is extended to resource mixing management. New optimalit- y equations of Guenin's style are obtained. Practically, the problem is solved by using an algorithm derived from the F.A.B. method.