Abstract
Min Storage is an NP–hard optimization problem that arises in a natural way when one considers computations in which the amount of energy provided with the input values is preserved during the computation. In this paper we propose a polynomial time membrane algorithm that computes approximate solutions to the instances of Min Storage, and we study its behavior on (almost) uniformly randomly chosen instances. Moreover, we compare the (estimated) coefficient of approximation of this algorithm with the ones obtained from several other polynomial time heuristics. The result of this comparison indicates the superiority of the membrane algorithm with respect to many other traditional approximation techniques.
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Leporati, A., Pagani, D. (2006). A Membrane Algorithm for the Min Storage Problem. In: Hoogeboom, H.J., Păun, G., Rozenberg, G., Salomaa, A. (eds) Membrane Computing. WMC 2006. Lecture Notes in Computer Science, vol 4361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11963516_28
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DOI: https://doi.org/10.1007/11963516_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69088-7
Online ISBN: 978-3-540-69090-0
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