Approximation quality of the hypervolume indicator
作者:
摘要
In order to allow a comparison of (otherwise incomparable) sets, many evolutionary multi-objective optimizers use indicator functions to guide the search and to evaluate the performance of search algorithms. The most widely used indicator is the hypervolume indicator. It measures the volume of the dominated portion of the objective space bounded from below by a reference point.
论文关键词:Evolutionary computation,Multi-objective optimization,Hypervolume indicator,Theory,Approximation,Selection
论文评审过程:Received 20 June 2011, Revised 11 September 2012, Accepted 17 September 2012, Available online 19 September 2012.
论文官网地址:https://doi.org/10.1016/j.artint.2012.09.005