Paper Info
Title
A combinatorial genetic algorithm for the configuration of the 2dF/AAOmega spectrograph at the anglo-Australian observatory
Abstract
To help unravel the structure of the universe, astronomers have developed systems which observe large clusters of objects at the same time. One such system is the 2-degree field spectrograph at the Anglo Australian Observatory. This system uses 400 fibres which can observe and measure the spectra of up to 400 astronomical objects in parallel. These optical fibres are positioned by a robotic arm. During placement, complex fibre entanglements often occur, reducing the overall efficiency of the system. This work aims to develop a combinatorial genetic algorithm which can help increase the efficiency of these systems by evolving sequences of fibre re-positionings. We present an integer-based representation developed for this GA which has the ability to automatically satisfy hard constraints during sequence seeding, mutation and recombination. We also present some initial results in re-configuring fibre placements.
Year
DOI
Venue
2006
10.1145/1143997.1144106
GECCO
Keywords
Field
DocType
anglo australian observatory,2-degree field spectrograph,aaomega spectrograph,overall efficiency,fibre re-positionings,complex fibre,fibre placement,astronomical object,anglo-australian observatory,hard constraint,combinatorial genetic algorithm,optical fibre,genetic algorithm,satisfiability,robot arm
Integer,Cluster (physics),Observatory,Robotic arm,Spectrograph,Computer science,Artificial intelligence,Universe,Astronomical Objects,Genetic algorithm,Mathematical optimization,Algorithm,Machine learning
Conference
ISBN
Citations 
PageRank 
1-59593-186-4
0
0.34
References 
Authors
2
2
Name
Order
Citations
PageRank
Steven Manos1263.77
Geraint Lewis200.34