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Genetic Algorithm Based Placement of Radio Interferometry Antennas

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8947))

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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.

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Author information

Authors and Affiliations

  1. University of Cape Town, Cape Town, South Africa

    Amit Kumar Mishra & Adi Lazar

Authors
  1. Amit Kumar Mishra
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  2. Adi Lazar
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Corresponding author

Correspondence to Amit Kumar Mishra .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, IIT, New Delhi, India

    Bijaya Ketan Panigrahi

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  3. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India

    Swagatam Das

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Mishra, A.K., Lazar, A. (2015). Genetic Algorithm Based Placement of Radio Interferometry Antennas. In: Panigrahi, B., Suganthan, P., Das, S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2014. Lecture Notes in Computer Science(), vol 8947. Springer, Cham. https://doi.org/10.1007/978-3-319-20294-5_66

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  • DOI: https://doi.org/10.1007/978-3-319-20294-5_66

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20293-8

  • Online ISBN: 978-3-319-20294-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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