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Bi-level Sensor Planning Optimization Process with Calls to Costly Sub-processes

Frédéric Dambreville 1, 2
1 Lab-STICC_ENSTAB_CID_SFIIS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Pôle STIC_REMS
ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne
Abstract : While there is a variety of approaches and algorithms for optimizing the mission of a sensor, there are much less works which deal with the implementation of several sensors within a human organization. In this case, the management of the sensors is done through at least one human decision layer, and the sensors management as a whole arises as a bi-level optimization process. The following hypotheses are considered as realistic: Sensor handlers of first level plans their sensors by means of elaborated algorithmic tools based on accurate modelling of the environment; Higher level plans the handled sensors according to a global observation mission and on the basis of an approximated model of the environment and submit its plan to a costly assessment by the first level. This problem is related to the domain of experiment design. A generalization of the Efficient Global Optimization method (Jones, Schonlau and Welch) is proposed, based on a rare event simulation approach.
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https://hal.archives-ouvertes.fr/hal-01171073
Contributor : Annick Billon-Coat <>
Submitted on : Thursday, July 2, 2015 - 5:55:14 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:51 PM

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Frédéric Dambreville. Bi-level Sensor Planning Optimization Process with Calls to Costly Sub-processes . Intelligent Information and Database Systems, Springer, 2014, ⟨10.1007/978-3-319-05458-2_40⟩. ⟨hal-01171073⟩

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