Abstract
Integrated Optimization is a new framework of optimization which combines optimization and modeling for higher versatility and practicability. The modeling method that makes a response surface plays an important role for the performance of Integrated Optimization. In this paper, a new modeling method which makes local and global response surfaces is proposed to contribute the global performance in Integrated Optimization. The local response surface is based on locally placing sample points in good solution circumference. The global surface is based on globally placing sample points in the whole feasible area. The effectiveness of the proposed method is examined through numerical simulation using typical benchmark problems.
