Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

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Abstract: 0-1 knapsack problem is a typical NP complex issues in field of computer. Traditional solve knapsack problem is recursively backtracking and greedy methods. Use recursive backtracking to ...

A Python implementation of a branch-and-bound approach (plus a simple greedy heuristic) to solve a variation of the multiple knapsack problem where items have both individual and pairwise benefits.

implementation of dynamic and greedy approach solution for a problem. Which is a car company that produces given amount of cars every month with investments, profits costs etc. Profits are from car ...

Abstract: This paper proposes a modified iterated greedy algorithm for solving an NP-hard knapsack problem known as the knapsack problem with setup. In contrast to the classical 0-1 knapsack problem, ...