A Group-Based Resource Allocation Model for the Fractional Knapsack Problem
To solve the fractional knapsack problem, Dantzig's greedy rule orders items according to their value-to-cost ratio. This ordering introduces priority issues. An arbitrarily small perturbation to the input can change the allocation if the budget is exhausted between two items with very similar ratios. To mitigate that problem, we introduce a two-stage rule. We group items sharing attributes within a radius $δ$. We then evaluate these groups in descending order of ratio and divide their group's budget share without further ranking. Consider a group featuring an aggregate capacity $U_G$, unit costs contained in $[w^-,w^+]$, and a representative value $\widehat{v}$. The group's loss relative...
| Authors | Abhinaba Chakraborty |
|---|---|
| Primary category | cs.DS |
| Published | 6 September 2026 |
| Last updated at source | 23 September 2026 |
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