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Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 280))

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Abstract

The zero-one knapsack problem has the form

$$ {\text{maximize}}\;\sum\limits_{{j = 1}}^{n} {{{c}_{j}}{{x}_{j}}} $$
$$ subject{\mkern 1mu} to\;\sum\limits_{{j = 1}}^{n} {{{a}_{j}}{{x}_{j}}b} $$
$$ {{x}_{{ji}}} = 0\;or\;1\;\left( {j = 1,2, \ldots ,n} \right) $$

such that aj, b and cj are nonnegative numbers.

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Bibliographic Notes

  • The fully polynomial-time approximation scheme for solving the zero-one knapsack problem has been constructed by O. H. Ibarra and C. E. Kim, “Fast approximation algorithms for the knapsack and sum of subset problems”, Journal of the Association for Computing Machinery 22(1975), 463–468.

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  • The sorting subroutine uses the heapsort method which originated with J.W.J. Williams, “Algorithm 232: Heapsort”, Communications of the ACM 7(1964), 347–348,

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  • and was improved by R. W. Floyd, “Algorithm 245: Treesort 3”, Communications of the ACM 7 (1964), 701.

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© 1986 Springer-Verlag Berlin Heidelberg

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Lau, H.T. (1986). Zero-One Knapsack Problem. In: Combinatorial Heuristic Algorithms with FORTRAN. Lecture Notes in Economics and Mathematical Systems, vol 280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-61649-5_3

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  • DOI: https://doi.org/10.1007/978-3-642-61649-5_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-17161-4

  • Online ISBN: 978-3-642-61649-5

  • eBook Packages: Springer Book Archive

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