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Using an Adaptive Memory Strategy to Improve a Multistart Heuristic for Sequencing by Hybridization

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Experimental and Efficient Algorithms (WEA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3503))

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Abstract

We describe a multistart heuristic using an adaptive memory strategy for the problem of sequencing by hybridization. The memory-based strategy is able to significantly improve the performance of memoryless construction procedures, in terms of solution quality and processing time. Computational results show that the new heuristic obtains systematically better solutions than more involving and time consuming techniques such as tabu search and genetic algorithms.

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© 2005 Springer-Verlag Berlin Heidelberg

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Fernandes, E.R., Ribeiro, C.C. (2005). Using an Adaptive Memory Strategy to Improve a Multistart Heuristic for Sequencing by Hybridization. In: Nikoletseas, S.E. (eds) Experimental and Efficient Algorithms. WEA 2005. Lecture Notes in Computer Science, vol 3503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427186_2

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  • DOI: https://doi.org/10.1007/11427186_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25920-6

  • Online ISBN: 978-3-540-32078-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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