A parameterized lower confidence bounding scheme for adaptive metamodel-based design optimization

摘要

Purpose - The purpose of this paper is to efficiently use as few sample points as possible to get a sufficiently explored design space and an accurate optimum for adaptive metamodel-based design optimization (AMBDO).