@inproceedings{35bf5eb6715c4b3eaa446fda5311f0cc,
title = "Genetic algorithm based placement of radio interferometry antennas",
abstract = "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.",
keywords = "Genetic algorithm, Radio astronomy",
author = "Mishra, {Amit Kumar} and Adi Lazar",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 5th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2014 ; Conference date: 18-12-2014 Through 20-12-2014",
year = "2015",
month = aug,
day = "11",
doi = "10.1007/978-3-319-20294-5_66",
language = "English",
isbn = "978-3-319-20293-8",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "777--787",
editor = "Suganthan, {Ponnuthurai Nagaratnam} and Panigrahi, {Bijaya Ketan} and Swagatam Das",
booktitle = "Swarm, Evolutionary, and Memetic Computing",
address = "Switzerland",
}