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Application of differential evolution algorithm for solving discounted {0–1} knapsack problem

机译:差分进化算法在求解打折的{0–1}背包问题中的应用

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摘要

Knapsack problem is a classical problem in combinatorial optimization. This paper first introduces the basic concepts of discount {0-1} knapsack problem and differential evolution algorithm, the improved differential evolution discount {0-1} knapsack problem algorithm for solving large scale data, and combined with the dynamic programming algorithm to verify its correctness. Simulation results show that this method can obtain the best solution with the highest fitness.
机译:背包问题是组合优化中的经典问题。本文首先介绍折扣{0-1}背包问题和差分进化算法的基本概念,改进的差分进化折扣{0-1}背包问题算法用于求解大规模数据,并结合动态规划算法对其进行验证。正确性。仿真结果表明,该方法可以得到适应度最高的最佳解。

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