Multi-objective Optimization and Post-optimal Analysis on Multiple Car Structure Design toward Energy Conservation and Mass-customization

EasyChair Preprint 1265

Abstract

Under sustainable development goals, multi-objective optimization has been highly notified and supported rational and flexible decision making. In the case of car industries, energy conservation and mass-customization are becoming major interests to meet such trend under global competition. To pursue this goal in a lean and agile manner, various simulation and optimization techniques are applied to real-world car design. To promote such development, one of the Japanese car companies recently released a bi-objective bench-mark problem on multiple car structure design. Since it is a large optimization problem that requires us to apply computationally tough method, in this paper, we have proposed a unique procedure incorporated with our multi-objective optimization method known as MOON2 and a new method named downsizing NSGA-II. Moreover, to enhance its usefulness in practical engineering tasks, we engage in a post-optimal analysis that tries to comprehensively re-consider the prior result before the final decision. In numerical experiments, we have shown the proposed procedure can efficiently solve the original problem and move adaptively on the post-optimal analysis in the same framework. Finally, the advantage is compared with the other studies and the propose idea is shown useful toward qualified and manifold decision making.

Keyphrases: Multiple car structures design, Post-optimal analysis, Real world benchmark problem, multi-objective optimization

@booklet{EasyChair:1265,
  author    = {Yoshiaki Shimizu and Jaekyu Yoo},
  title     = {Multi-objective Optimization and Post-optimal Analysis on Multiple Car Structure Design toward Energy Conservation and Mass-customization},
  howpublished = {EasyChair Preprint 1265},
  year      = {EasyChair, 2019}}