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A fast many-objective hypervolume algorithm using iterated incremental calculations

机译:使用迭代增量计算的快速多目标超体积算法

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Three fast algorithms have been proposed for calculating hypervolume exactly: the Hypervolume by Slicing Objectives algorithm (HSO) optimised with heuristics designed to improve the average case; an adaptation of the Overmars and Yap algorithm for solving the Klee's measure problem; and a recent algorithm by Fonseca et al. We propose a fourth algorithm IIHSO based largely on the Incremental HSO algorithm, a version of HSO adapted to calculate the exclusive hypervolume contribution of a point to a front. We give a comprehensive analysis of IIHSO and performance comparison between three state of the art algorithms, and conclude that IIHSO outperforms the others on most important and representative data in many objectives.
机译:已经提出了三种快速算法来精确地计算超容量:用启发式算法优化的切片目标超容量算法(HSO),该启发式算法旨在改善平均情况;为解决Klee测度问题而改编的Overmars和Yap算法;以及Fonseca等人的最新算法。我们提出了第四种算法IIHSO,该算法主要基于增量HSO算法,这是一种适用于计算点到前沿的超体积贡献的HSO版本。我们对IIHSO进行了全面分析,并比较了三种最先进算法的性能,得出结论,在许多目标上,IIHSO在最重要和最具代表性的数据上均优于其他IIHSO。

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