Search and development of innovation within increasing complex fields of activity requires more and more efficient and economical optimization strategies. The evolutionary systemoptimization containing MESKEE-search algorithm and economical time-cost-modul is herein preferable to do material-, product- and process innovation. In particular with multiple optimization parameters and multiple functions of aim, evolutionary systemoptimization is able to show ifs strategical and economical advantage.