Abstract [eng] Interactive methods of multiobjective optimization repetitively derive Pareto
optimal solutions based on decision maker's preference information and present the
obtained solutions for his/her consideration. Some interactive methods save the obtained
solutions into a solution pool and, at each iteration, allow the decision maker considering
any of solutions obtained earlier. This feature contributes to the flexibility of exploring the
Pareto optimal set and learning about the optimization problem. However, in the case of …