Kersting, PetraMehnen, JörnRudolph, GünterTipura, IgorWagner, Tobias2009-05-122009-05-122007-01http://hdl.handle.net/2003/2612910.17877/DE290R-8714The covariance matrix adaptation (CMA) is a concept originally introduced for improving the single-objective evolution strategy (ES). CMA varies the classical ES-mutation operator by utilising a mutation distribution adaptation scheme and an evolution path, which takes the evolutionary history into account. SPEA2 surely belongs to the most popular multi-objective evolutionary algorithms. It uses the strength Pareto concept and a special distribution measure for the evaluation of offspring individuals. An archive collects non-dominated individuals, which are used during selection, making the SPEA2 a typical elitist strategy. The new ICSPEA (Integrated CMA-SPEA) combines the powerful mutation concept of the CMA-ES with the evaluation scheme of the SPEA2. Tests on selected benchmark functions show the promising features of this new multi-objective optimisation algorithm.enReihe CI; 222-07CMACovariance Matrix Adaptionmulti-objective evolutionary algorithmsSPEA 2Strength Pareto Evolutionary Algorithm004report