Use of evolutionary algorithms for telescope scheduling

Ruud Grim; Mischa Jansen; Arno Baan; Jano van Hemert; Hans de Wolf

doi:10.1117/12.489827

30 July 2002 Use of evolutionary algorithms for telescope scheduling

Ruud Grim, Mischa Jansen, Arno Baan, Jano van Hemert, Hans de Wolf

Proceedings Volume 4757, Integrated Modeling of Telescopes; (2002) https://doi.org/10.1117/12.489827
Event: Workshop on Integrated Modeling of Telescopes, 2002, Lund, Sweden

Abstract

LOFAR, a new radio telescope, will be designed to observe with up to 8 independent beams, thus allowing several simultaneous observations. Scheduling of multiple observations parallel in time, each having their own constraints, requires a more intelligent and flexible scheduling function then operated before. In support of the LOFAR radio telescope project, and in co-operation with Leiden University, Fokker Space has started a study to investigate the suitability of the use of evolutionary algorithms applied to complex scheduling problems. After a positive familiarization phase, we now examine the potential use of evolutionary algorithms via a demonstration project. Results of the familiarization phase, and the first results of the demonstration project are presented in this paper.

Citation Download Citation

Ruud Grim, Mischa Jansen, Arno Baan, Jano van Hemert, and Hans de Wolf "Use of evolutionary algorithms for telescope scheduling", Proc. SPIE 4757, Integrated Modeling of Telescopes, (30 July 2002); https://doi.org/10.1117/12.489827

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available