Abstract
As represented by energy and/or environmental issues, modern technologies are facing with a lot of difficult problems that must be solved urgently for sustainable development. Concerning with anyone of those problem-solving, however, we often come across such a situation that requires us to consider multiple goals conflicting with each other. To deal with such complicated and difficult problem, multi-objective optimization has been highly required and supported agile and flexible decision-making. Accordingly, we developed a novel method termed MOON2R/MOON2 and demonstrated its effectiveness through various applications. To enhance its usefulness, in this paper, we have proposed a unique procedure for multi-objective optimization and its post-optimal analysis. Actually, it is deployed in co-operation with our elite-induced multi-objective evolutionary algorithms (MOEA) and a new idea named downsizing NSGA-II together with a technique to solve single-objective optimization problem using MOEA. After preliminarily examining some properties of the idea, a practical benchmark problem on multiple car structure design has been solved to discuss the significance of the proposed idea. Eventually, the proposed idea makes multi-objective optimization more practical toward recent qualified decision-making.
