Classic optimization methods have a huge difficulty to manage those kinds of problems. For such areas a new optimization procedure has been studied and implemented: intelligent Decision Advisor iDA.
The innovation given by this methodology regards the strategy driving through the exploration of solutions domain.
Manages designs with thousands of parameters
Few options need to be set
Smart decision advisor allows improvement of starting solution in a few steps
Automatic removal of design parameters if a limit value is set
First research steps are devoted to exploration of the solutions domain; the last one aims to improve locally the identified solution