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European Conference on Genetic Programming

EuroGP 2004: Genetic Programming pp 150–161Cite as

Constrained Molecular Dynamics as a Search and Optimization Tool

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3003))

Abstract

In this paper we consider a new class of search and optimization algorithms inspired by molecular dynamics simulations in physics.

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References

  1. Holland, J.: Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor (1975)

    Google Scholar 

  2. Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220(4598), 671–680 (1983)

    Article  MathSciNet  Google Scholar 

  3. Hopfield, J.J.: Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences 79, 2554–2558 (1982)

    Article  MathSciNet  Google Scholar 

  4. Hopfield, J.J., Tank, D.W.: Neural computation of decisions in optimization problems. Biological Cybernetics 52, 141–152 (1985)

    MATH  MathSciNet  Google Scholar 

  5. Kennedy, J., Eberhart, R.C.: Swarm Intelligence. Morgan Kaufmann Publishers, San Francisco (2001)

    Google Scholar 

  6. Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm intelligence: from natural to artificial systems. Oxford University Press, New York (1999)

    MATH  Google Scholar 

  7. Rapaport, D.C.: The Art of Molecular Dynamics Simulation. Cambridge University Press, Cambridge (1997)

    Google Scholar 

  8. Alder, B.J., Wainwright, T.E.: Phase transition for a hard sphere system. Journal of Chemical Physics 27, 1208–1209 (1957)

    Article  Google Scholar 

  9. Blackwell, T.M., Bentley, P.J.: Dynamic search with charged swarms. In: Langdon, W.B., et al. (eds.) GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, July 9-13, pp. 19–26. Morgan Kaufmann Publishers, San Francisco (2002)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Essex, UK

    Riccardo Poli

  2. Instituto de Ciencias Nucleares, UNAM, México

    Christopher R. Stephens

Authors
  1. Riccardo Poli
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  2. Christopher R. Stephens
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Editor information

Editors and Affiliations

  1. No Affiliation,  

    Maarten Keijzer

  2. Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 02139, Cambridge, MA, USA

    Una-May O’Reilly

  3. University of Essex Department of Computing and Electronic Systems, Wivenhoe Park, CO4 3SQ, Colchester, UK

    Simon Lucas

  4. Centre of Informatics and Systems of the University of Coimbra,  

    Ernesto Costa

  5. Department of Computer Science, University of Idaho, ID 83844-1010, Moscow,  

    Terence Soule

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

Poli, R., Stephens, C.R. (2004). Constrained Molecular Dynamics as a Search and Optimization Tool. In: Keijzer, M., O’Reilly, UM., Lucas, S., Costa, E., Soule, T. (eds) Genetic Programming. EuroGP 2004. Lecture Notes in Computer Science, vol 3003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24650-3_14

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  • DOI: https://doi.org/10.1007/978-3-540-24650-3_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21346-8

  • Online ISBN: 978-3-540-24650-3

  • eBook Packages: Springer Book Archive

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