Multi-Objective Optimization and Visualization of High Dimensions

Abstract

A new approach, Multi-Objective Design Exploration (MODE), is presented to address aerospace design problems. MODE reveals the structure of the design space from the trade-off information and visualizes it as a panorama for Decision Maker. The present form of MODE consists of Kriging Model, Adaptive Range Multi Objective Genetic Algorithms, Analysis of Variance and Self-Organizing Map. The main emphasis of this approach is visual data mining. Design example using high fidelity simulation codes is presented for four-objective aerodynamic optimization for the fly-back booster.