Auto-adaptive search capabilities of the new borg MOEA: A detailed comparison on alternative product family design problem formulations

Matthew J. Woodruff, David M. Hadka, Patrick M. Reed, Timothy William Simpson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

There is a growing recognition that the design and management of complex engineered systems requires a fundamental advance in our ability to identify and exploit their inherent tradeoffs across a growing number of decisions and objectives. In support of this challenge, this study provides a rigorous evaluation of modern "many-objective" evolutionary opti- mization algorithms. The computational power of modern high-performance computing environments makes it possible to investigate optimization algorithm performance in ways that were not historically feasible. This study uses millions of algorithm runs, each per- forming hundreds of thousands of function evaluations, to do a Sobol' global sensitivity analysis on algorithm parameterization. We present this analysis for two algorithms across four formulations of a General Aviation Aircraft (GAA) conceptual product family design problem. The two algorithms are the recently introduced Borg Multi-Objective Evolu- tionary Algorithm (MOEA), a promising auto-adaptive multi-operator search algorithm, and the ε-MOEA, its algorithmic forebear. The four formulations of the GAA problem vary in their complexity and allow us to investigate the assumption that complex problem formulations are more difficult to solve.

Original languageEnglish (US)
Title of host publication12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
StatePublished - Dec 1 2012
Event12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference - Indianapolis, IN, United States
Duration: Sep 17 2012Sep 19 2012

Publication series

Name12th AIAA Aviation Technology, Integration and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

Other

Other12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
CountryUnited States
CityIndianapolis, IN
Period9/17/129/19/12

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Mechanical Engineering

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    Woodruff, M. J., Hadka, D. M., Reed, P. M., & Simpson, T. W. (2012). Auto-adaptive search capabilities of the new borg MOEA: A detailed comparison on alternative product family design problem formulations. In 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (12th AIAA Aviation Technology, Integration and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference).