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Optimal Partitioning and Coordination Decisions in Decomposition-Based Design Optimization

[+] Author Affiliations
James T. Allison, Michael Kokkolaras, Panos Y. Papalambros

University of Michigan, Ann Arbor, MI

Paper No. DETC2007-34698, pp. 709-718; 10 pages
doi:10.1115/DETC2007-34698
From:
  • ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 6: 33rd Design Automation Conference, Parts A and B
  • Las Vegas, Nevada, USA, September 4–7, 2007
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 0-7918-4807-8 | eISBN: 0-7918-3806-4
  • Copyright © 2007 by ASME

abstract

Solution of complex system design problems using distributed, decomposition-based optimization methods requires determination of appropriate problem partitioning and coordination strategies. Previous optimal partitioning techniques have not addressed the coordination issue explicitly. This article presents a formal approach to simultaneous partitioning and coordination strategy decisions that can provide insights on whether a decomposition-based method will be effective for a given problem. Pareto-optimal solutions are generated to quantify tradeoffs between the sizes of subproblems and coordination problems, as measures of the computational costs resulting from different partitioning-coordination strategies. Promising preliminary results with small test problems are presented. The approach is illustrated on an electric water pump design problem.

Copyright © 2007 by ASME
Topics: Design , Optimization

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