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Grammatical Bee Colony

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8297))

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Abstract

This paper presents Grammatical Bee Colony algorithm. Grammatical Bee Colony is variant of Grammatical Evolution algorithm in which Artificial Bee Colony is used as search engine to write a program in any arbitrary language. The performance of Grammatical Bee Colony is tested on benchmark problems. Experimental results shows that Grammatical Bee Colony is able to generate programs.

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References

  1. Ryan, C., Collins, J.J., O’Neill, M.: Grammatical Evolution: Evolving Programs for an Arbitrary Language. In: Banzhaf, W., Poli, R., Schoenauer, M., Fogarty, T.C. (eds.) EuroGP 1998. LNCS, vol. 1391, pp. 83–95. Springer, Heidelberg (1998)

    Google Scholar 

  2. O’Neill, M., Ryan, C.: Grammatical Evolution. IEEE Trans. Evolutionary Computation 5(4), 349–358 (2001)

    Article  Google Scholar 

  3. Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press (1992)

    Google Scholar 

  4. Nohejl, A.: Grammar-based genetic programming. Master thesis, Charles University, Prague (2011)

    Google Scholar 

  5. O’Neill, M., Brabazon, A.: Grammatical Swarm: The Generation of Programs by Social Programming. Natural Computing 5(4), 443–462 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  6. Kennedy, J., Eberhart, R.: Particle Swarm Optimization. In: IEEE International Conference on Neural Networks, Perth, Australia (1995)

    Google Scholar 

  7. O’Neill, M., Brabazo, A.: Grammatical Differential Evolution. In: International Conference on Artificial Intelligence (ICAI 2006), pp. 231–236. CSEA Press, Las Vegas (2006)

    Google Scholar 

  8. Karaboga, D.: An Idea Based On Honey Bee Swarm For Numerical Optimization. Technical Report-TR06, Erciyes University, Engineeing Faculty, Computer Engineering Department (2005)

    Google Scholar 

  9. Karaboga, D., Ozturk, C., Karaboga, N., Gorkemli, B.: Artificial Bee Colony Programming for Symbolic Regression. Information Sciences 209, 1–15 (2012)

    Article  Google Scholar 

  10. Poli, R., Langdon, W.B., McPhee, N.F.: A Field Guide to Genetic Programming (2008), Published via http://lulu.com , and freely available at http://lulu.com , ( With contributions by J.R Koza). GP BIB

  11. Shi, Y., Eberhart, R.C.: A modified particle swarm optimizer. In: IEEE World Congr. Comput. Intell., pp. 69–73 (1998)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Bankura Unnayani Institute of Enginnering, Bankura, West Bengal, India

    Tapas Si

  2. Department of Information Technology, Dr. B.C Roy Engineering College, Durgapur, W.B, India

    Arunava De

  3. Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, West Bengal, India

    Anup Kumar Bhattacharjee

Authors
  1. Tapas Si
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  2. Arunava De
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  3. Anup Kumar Bhattacharjee
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Editor information

Editors and Affiliations

  1. Electrical Engineering Dept., IIT Delhi, Hauz Khas, 110016, New Delhi, India

    Bijaya Ketan Panigrahi

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore

    Ponnuthurai Nagaratnam Suganthan

  3. Electronics and Communication Sciences Unit, Indian Statistical Institute, 700108, Kolkata, India

    Swagatam Das

  4. SRM Engineering College, Department of Electrical and Electronics Engineering, SRM University, Potheri, Kattankulathur, Kancheepuram, 603203, Tamil Nadu, India

    Shubhransu Sekhar Dash

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© 2013 Springer International Publishing Switzerland

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Si, T., De, A., Bhattacharjee, A.K. (2013). Grammatical Bee Colony. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8297. Springer, Cham. https://doi.org/10.1007/978-3-319-03753-0_39

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  • DOI: https://doi.org/10.1007/978-3-319-03753-0_39

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03752-3

  • Online ISBN: 978-3-319-03753-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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