Fractional Knapsack Problem

The Fractional Knapsack Problem is a greedy optimization problem in combinatorial algorithmics where the objective is to maximize the total value of items in a knapsack of limited capacity by allowing fractional amounts of each item to be selected, distinguishing it from the discrete variant by permitting partial inclusion of items.

32

Publications

1.1K

Citations

69

Authors

40

Institutions

Publications per year

2017–2026

15

Authors

69

  1. BJ
    B. John Oommen

    Carleton University, Canada

    5 publications · 199 citations

    5

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  2. OG
    Ole‐Christoffer Granmo

    University of Agder, Norway

    5 publications · 199 citations

    5

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  3. I‎
    I‎. ‎M‎. Stancu-Minasian

    Romanian Academy, Romania

    3 publications · 116 citations

    3

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  4. MH
    Mohammad Hajiesmaili

    University of Massachusetts Amherst, United States

    2 publications · 49 citations

    2

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  5. MM
    Michele Monaci

    University of Bologna, Italy

    2 publications · 51 citations

    2

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1–5 of 69

Venues

  1. Optimization

    3 publications · 116 citations

    3

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  2. IEEE Transactions on Communications

    2 publications · 157 citations

    2

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  3. European Journal of Operational Research

    2 publications · 46 citations

    2

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  4. Management Science

    1 publications · 28 citations

    1

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  5. 1

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