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Can I read Heuristics for the 0–1 Multidimensional Knapsack Problem on EtoBox?

Heuristics for the 0–1 Multidimensional Knapsack Problem by V. Boyer; M. Elkihel; D. El Baz is a Engineering article available to read on EtoBox.

What is Heuristics for the 0–1 Multidimensional Knapsack Problem about?

Two heuristics for the 0-1 multidimensional knapsack problem (MKP) are presented. The first one uses surrogate relaxation, and the relaxed problem is solved via a modified dynamic-programming algorithm. The heuristics provides a feasible solution for (MKP). The second one combines a limited-branch-and-cutprocedure with the previous approach, and tries to improve the bound obtained by exploring some nodes that have been rejected by the modified dynamic-programming algorithm. Computational experiences show that our approaches give better results than the existing heuristics, and thus permit one to obtain a smaller gap between the solution provided and an optimal solution.

Who reads Heuristics for the 0–1 Multidimensional Knapsack Problem?

It is typically read by researchers, students, and practitioners in Engineering.

Author
V. Boyer; M. Elkihel; D. El Baz
Publisher
Elsevier Science; Elsevier ; Elsevier BV (ISSN 0377-2217)
Published
2009
Language
EN
Field
Engineering (Physical Sciences)

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