Solve Zero-One Knapsack Problem by Greedy Genetic Algorithm

Yuxiang Shao, Hongwen Xu, Weiming Yin
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引用次数: 10

Abstract

In order to overcome the disadvantages of the traditional genetic algorithm and improve the speed and precision of the algorithm, the author improved the selection strategy, integrated the greedy algorithm with the genetic algorithm and formed the greedy genetic algorithm. The paper discussed the basic idea and method to solve the zero-one knapsack problem using this greedy genetic algorithm. The experiments prove the feasibility and validity of the algorithm.
用贪心遗传算法求解0 - 1背包问题
为了克服传统遗传算法的缺点,提高算法的速度和精度,作者改进了选择策略,将贪婪算法与遗传算法相结合,形成了贪婪遗传算法。本文讨论了利用贪心遗传算法求解0 - 1背包问题的基本思想和方法。实验证明了该算法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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