Genetic algorithm based placement of radio interferometry antennas

Amit Kumar Mishra*, Adi Lazar

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

Crynodeb

In this paper, we thoroughly investigate the application of naive genetic algorithm to the problem of antenna placement in radio astronomy. The cost functions were the cost of cable length and the challenge of avoiding beat frequencies in the imaging process. We showed that genetic algorithm does help us in generating better placements than those given by symmetric conventional placements procedure. This is a novel use of genetic algorithm. Hence in this study a better understanding of the cost functions and the domain outweighs the investigation into different types of evolutionary algorithms.

Iaith wreiddiolSaesneg
TeitlSwarm, Evolutionary, and Memetic Computing
Is-deitl5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers
GolygyddionPonnuthurai Nagaratnam Suganthan, Bijaya Ketan Panigrahi, Swagatam Das
CyhoeddwrSpringer Nature
Tudalennau777-787
Nifer y tudalennau11
ISBN (Electronig)978-3-319-20294-5, 3319202944
ISBN (Argraffiad)978-3-319-20293-8, 3319202936
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 11 Awst 2015
Cyhoeddwyd yn allanolIe
Digwyddiad5th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2014 - Bhubaneswar, India
Hyd: 18 Rhag 201420 Rhag 2014

Cyfres gyhoeddiadau

EnwLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Cyfrol8947
ISSN (Argraffiad)0302-9743
ISSN (Electronig)1611-3349

Cynhadledd

Cynhadledd5th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2014
Gwlad/TiriogaethIndia
DinasBhubaneswar
Cyfnod18 Rhag 201420 Rhag 2014

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