Agapie, AlexandruRudolph, Günter2004-12-072004-12-0720002001-10-16http://hdl.handle.net/2003/538510.17877/DE290R-15987We present four abstract evolutionary algorithms for multi-objective optimization and theoretical results that characterize their convergence behavior. Thanks to these results it is easy to verify whether a particular instantiation of these abstract evolutionary algorithms offers the desired limit behavior or not. Several examples are given.enUniversität DortmundReihe Computational Intelligence ; 81004report