Victor Korotkich
     Faculty of Informatics and Communication
     Central Queensland University
     Mackay, Queensland, Australia
     v.korotkich@cqu.edu.au

 The digital economy is creating abundant new opportunities for  optimization applications especially in such areas as financial  services, electronic markets, network infrastructure, supply-chain  management and brainware of the Internet. It is becoming well  recognised that models in these areas have to be constructed as  dynamically evolving nonlinear systems. Nonlinear systems occur  whenever individual parts interact and create a whole that is no  longer reducible back to its original component parts.
There is still no general framework that could reveal underlying  structures of these models. In the paper we discuss the recent  advances and propose a general approach that identifies hierarchical  structures in the models. Relevant complexity issues are presented to  guide the development of optimization methods for the decision making  problems. Results of computational experiments are given to illustrate  and validate the approach.