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Fuzzy Multiple Objective Knapsack Problem with GUB Structure by Hybrid Genetic Algorithm

机译:混合遗传算法与GUB结构模糊多目标背包问题

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摘要

In this paper, a hybrid genetic algorithm based method for solving fuzzy multiple objective Knapsack problem with GUB (generalized upper bounding) structure is introduced. In this genetic algorithm, we propose the new chromosomes representation which represents the GUB structure simply and effectively at a time. Also, by introducing the hybrid genetic algorithm(HGA) that makes use of the peculiarity of GUB structure, the proposed approach is efficient in finding solution. By the proposed approach, the solution can be searched efficiently.
机译:本文介绍了一种基于混合遗传算法,用于求解GUB(广义上限)结构的模糊多目标背包问题。在这种遗传算法中,我们提出了一种新的染色体表示,其一次简单且有效地表示GUB结构。此外,通过引入利用GUB结构的特殊性的混合遗传算法(HGA),所提出的方法在寻找解决方案方面是有效的。通过所提出的方法,可以有效地搜索解决方案。

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