There are five types of unary performance metrics and two types of binary performance metrics. However, no single metric can faithfully measure MOEA performance. Moreover, every metric has its unique character; no metrics can substitute others completely. Ensemble method is introduced to compare EAs by combining a large number of single metrics using modified Double Tournament Selection. Double Tournament Selection can maximum protects the qualified individual from being lost by some stochastic factors in a comparison time. This ensures the final result is the really best one and the whole ensemble process is effective and precise. Therefore, performance metrics ensemble can overcome the lost information problem by the single metric which only provides some specific but limited information. Furthermore, ensemble method avoids the choosing process which is a heavy computational process and can be directly used to assessing EAs. Finally, from the experiment results by using performance metrics ensemble, Each MOEA's characteristic is summarized.School of Electrical & Computer Engineerin
