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abstract

Dynamic selection of migration flows in island model differential evolution

Published: 06 July 2013 Publication History

Abstract

In this paper, a new approach to the topology configuration problem in the Island Model (IM) is proposed. The mechanism proposed works with a pool of candidates for migration and the choice of immigrants is performed using the usual selection techniques of evolutionary algorithms. Computational tests on IM versions of the Differential Evolution show positive effects of the proposed approach in terms of the number of function evaluations required for convergence.

References

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J. Berntsson and M. Tang. Dynamic optimization of migration topology in internet-based distributed genetic algorithms. In Proceedings of the 2005 conference on Genetic and evolutionary computation, pages 1579--1580, New York, NY, USA, 2005. ACM.
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O. A. Jaddan, L. Rajamani, and C. R. Rao. Improved selection operator for ga. Journal of Theoretical and Applied Information Technology, pages 269--277, 2005.
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R. A. Lopes, R. C. P. Silva, F. Campelo, and F. G. Guimarães. A multi-agent approach to the adaptation of migration topology in island model evolutionary algorithms. In SBRN, pages 160--165. IEEE, 2012.
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G. Luque and E. Alba. Parallel Genetic Algorithms: Theory and Real World Applications. Studies in Computational Intelligence. Springer, 2011.
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B. L. Miller and D. E. Goldberg. Genetic algorithms, tournament selection, and the effects of noise. Complex Systems, 9:193--212, 1995.
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R. Storn and K. Price. Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces. pages 341--359, 1997.
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J. Tang, M.-H. Lim, Y.-S. Ong, and M. J. Er. Study of migration topology in island model parallel hybrid-ga for large scale quadratic assignment problems. In ICARCV, pages 2286--2291. IEEE, 2004.
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K. Tang, X. Yao, P. N. Suganthan, C. MacNish, Y. P. Chen, C. M. Chen, and Z. Yang. Benchmark functions for the CEC 2008 special session and competition on large scale global optimization. Technical report, Nature Inspired Computation and Applications Laboratory, USTC, China, 2007.

Cited By

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  • (2017)A dynamic migration policy to the Island Model2017 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC.2017.7969434(1135-1142)Online publication date: Jun-2017
  • (2017)On asynchronous parallelization of order-based GA over grid-enabled heterogenous commodity hardwareSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-016-2190-221:21(6351-6368)Online publication date: 1-Nov-2017

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Published In

cover image ACM Conferences
GECCO '13 Companion: Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
July 2013
1798 pages
ISBN:9781450319645
DOI:10.1145/2464576
  • Editor:
  • Christian Blum,
  • General Chair:
  • Enrique Alba
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 July 2013

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Author Tags

  1. differential evolution
  2. island model
  3. methods of selection individual
  4. migration topology

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GECCO '13
Sponsor:
GECCO '13: Genetic and Evolutionary Computation Conference
July 6 - 10, 2013
Amsterdam, The Netherlands

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

View all
  • (2017)A dynamic migration policy to the Island Model2017 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC.2017.7969434(1135-1142)Online publication date: Jun-2017
  • (2017)On asynchronous parallelization of order-based GA over grid-enabled heterogenous commodity hardwareSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-016-2190-221:21(6351-6368)Online publication date: 1-Nov-2017

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