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Although the MultiKnap-MC method still achieves the best, the result of using multiple knapsack algorithm is not apparent any more.
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This work presents a new scheme, called GRAMAKA, which combines the GRA algorithm [12] with multiple attributes and knapsack algorithm.
The proposed GRAMAKA performs best in all scenarios because the combination of GRA with multiple attributes and the knapsack algorithm in response to throughput and fairness offers greater flexibility in the efficient insertion of the UL-MAP than do the other two approaches.
In this paper, a new uplink bandwidth allocation scheme, grey relational analysis with multiple attributes and knapsack algorithms (GRAMAKA), which combines GRA with multiple attributes [13] and the knapsack algorithm [14], is proposed to improve resource utilization while satisfying the user's requirements of throughput and fairness.
MultiKnap-Single represents the single-copy version of multiple knapsack-based forwarding algorithm.
We use Algorithm 1 to solve the multiple knapsack problem with the FCC constraint and a dynamic programming-based algorithm as illustrated in Algorithm 2. Finally, the problem will be solved by solving subproblems in a dimensionality reduction manner.
We further consider the limited communication bandwidth during encountering of vehicles and apply a selection mechanism based on 0-1 knalgorithmgorithm for vehicles to choose the most priority data chunks on top of the results of the above multiple knapsack solution.
The show features an F.B.I. agent and his math-genius brother solving crimes with the aid of formulas like Bacon's Cipher and the Knapsack Algorithm.
In this paper, a multiple knapsack [26] problem is modeled extended from 0-1 knaproblemroblem.
In addition, problem formulation is carried via multiple knapsack problem.
Given types and amount of the end devices, a multiple knapsack model is established which converts the physical topology optimization problems into multiple knapsack problems.
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