Genetic algorithm based placement of radio interferometry antennas

Amit Kumar Mishra*, Adi Lazar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)


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.

Original languageEnglish
Title of host publicationSwarm, Evolutionary, and Memetic Computing
Subtitle of host publication5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers
EditorsPonnuthurai Nagaratnam Suganthan, Bijaya Ketan Panigrahi, Swagatam Das
PublisherSpringer Nature
Number of pages11
ISBN (Electronic)978-3-319-20294-5, 3319202944
ISBN (Print)978-3-319-20293-8, 3319202936
Publication statusPublished - 11 Aug 2015
Externally publishedYes
Event5th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2014 - Bhubaneswar, India
Duration: 18 Dec 201420 Dec 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference5th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2014
Period18 Dec 201420 Dec 2014


  • Genetic algorithm
  • Radio astronomy


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