Issue |
A&A
Volume 403, Number 1, May III 2003
|
|
---|---|---|
Page(s) | 357 - 367 | |
Section | Astronomical instrumentation | |
DOI | https://doi.org/10.1051/0004-6361:20030319 | |
Published online | 29 April 2003 |
Optimization of telescope scheduling
Algorithmic research and scientific policy
1
Instituto de Astronomía y Geodesia (CSIC-UCM), Universidad Complutense de Madrid, 28040 Madrid, Spain
2
Department of Statistics and Operations Research, Universidad Complutense de Madrid, 28040 Madrid, Spain e-mail: jayage@mat.ucm.es
Corresponding author: A. I. Gómez de Castro, aig@mat.ucm.es
Received:
13
February
2002
Accepted:
28
October
2002
The use of very expensive facilities in Modern Astronomy has
demonstrated the importance of automatic modes in the operation of
large telescopes. As a consequence, several mathematical tools
have been applied and developed to solve the ()
scheduling optimization problem: from simple heuristics to the
more complex genetic algorithms or neural networks. In this work,
the basic scheduling problem is translated into mathematical
language and two main methods are used to solve it: neighborhood
search methods and genetic algorithms; both of them
are analysed. It is shown that the algorithms are sensitive to the scientific
policy by means of the definition of the objective function (F)
and also by the assignment of scientific priorities to the
projects. The definition of F is not trivial and requires a
detailed discussion among the Astronomical Community.
Key words: methods: observational
© ESO, 2003
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