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A fast many-objective hypervolume algorithm using iterated incremental calculations

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3 Author(s)
Lucas Bradstreet ; School of Computer Science & Software Engineering, The University of Western Australia, Western Australia 6009, Australia ; Lyndon While ; Luigi Barone

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.

Published in:

IEEE Congress on Evolutionary Computation

Date of Conference:

18-23 July 2010