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A fast many-objective hypervolume algorithm using iterated incremental calculations
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 recen...
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Main Authors: | , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | 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. |
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ISSN: | 1089-778X 1941-0026 |
DOI: | 10.1109/CEC.2010.5586344 |