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Genetic Algorithms

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Recommended Reading

  1. Acar AC, Motro A. Intensional encapsulations of database subsets via genetic programming. In: Andersen KV, Debenham J, Wagner R, editors. Database and expert systems applications, Lecture notes in computer science, vol. 3588. Berlin: Springer; 2005. p. 365–74.

    Chapter  Google Scholar 

  2. Cheng CH, Lee WK, Wong KF. A genetic algorithm-based clustering approach for database partitioning. IEEE Trans Syst Man Cybern. 2002;32(3):215–30.

    Article  Google Scholar 

  3. Corcoran AL, Hale J. A genetic algorithm for fragment allocation in a distributed database system. In: Proceedings of the ACM Symposium on Applied Computing; 1994. p. 247–50.

    Google Scholar 

  4. De Jong KA. Evolutionary computation: a unified approach. Cambridge, MA: MIT Press; 2006.

    MATH  Google Scholar 

  5. Flockhart IW, Radcliffe NJ. A genetic algorithm-based approach to data mining. In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining; 1996. p. 299–302.

    Google Scholar 

  6. Fogel DB. Evolutionary computation: the fossil record. New York: IEEE Press; 1998.

    Book  MATH  Google Scholar 

  7. Hall LO, Özyurt IB, Bezdek JC. Clustering with a genetically optimized approach. IEEE Trans Evol Comput. 1999;3(2):103–12.

    Article  Google Scholar 

  8. Holland JH. Adaptation in natural and artificial systems. 2nd ed. Cambridge, MA: MIT Press; 1992.

    Google Scholar 

  9. Reeves CR, Bush DR. Using genetic algorithms for training set selection in RBF networks. In: Liu H, Motoda H, editors. Instance selection and construction for data mining. Kluwer: Dordecht; 2001. p. 339–56.

    Chapter  Google Scholar 

  10. Reeves CR, Rowe JE. Genetic algorithms: principles and perspectives. Dordecht: Kluwer; 2002.

    Google Scholar 

  11. Wang JC, Horng JT, Liu BJ. A genetic algorithm for set query optimization in distributed database systems. IEEE Conf Syst Man Cybern. 1996;3:1977–82.

    Article  Google Scholar 

  12. Wang HB, Yu Y, Liu Z. SVM classifier incorporating feature selection using GA for spam detection. In: Proceedings of the International Conference on Embedded and Ubiquitous Computing; 2005. p. 1147–54.

    Google Scholar 

  13. Wolpert DH, Macready WG. No free lunch theorems for optimization. IEEE Trans Evol Comput. 1997;1(1):67–82.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Coventry University, Coventry, UK

    Colin R. Reeves

Authors
  1. Colin R. Reeves
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Corresponding author

Correspondence to Colin R. Reeves .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. School of Elec. Eng. and Computer Science, Seoul National Univ., Seoul, Republic of Korea

    Kyuseok Shim

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Reeves, C.R. (2018). Genetic Algorithms. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_562

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