Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
Conventional optimization based on a simulation modeling divided into elements has been changing into the optimization considering the entire system due to the rapid progress of computers. Parameter studies by computer simulations are necessary and indispensable for multi-objective optimization problems of the entire system such as system design and scheduling problem. We can calculate a large amount of solutions in a practical time by using parallel calculation technology. However, it is difficult to use the acquired solutions effectively, because the solutions have multi-dimensionality on evaluation values. This study tries to develop ``Mining of Solutions" technique with visualization. As with necessity of data mining for large quantities of data accumulated by information technology, ``Mining of Solutions" technique for a huge amount of solutions for multi-objective optimization problems will become important. This study proposes a visualization method for acquired solutions which have multidimensional evaluation values. The proposed method enables us to grasp the distributed structure of solutions and clarify the relationship among clusters of solutions.
