Multi-Disciplinary Optimization for Packaging (MDOP)
Abstract
This report documents research conducted under the Defense Advanced Research Projects Agency (DARPA) Multi-Disciplinary Optimization for Packaging (MDOP) seedling effort. The goal of developing a mathematical framework employing technologies that allow automated, optimal packaging design of complex Cyber-Physical Systems (CPS) was to distill DARPA-hard technical challenge(s) that must be solved to enable an MDOP capability, with Department of Defense (DoD) wide applicability, enabling the Aerospace and Defense Industry to develop substantially more functionally dense complex CPS that the DoD critically needs. This report defines the overall MDOP problem, the scoped DARPA Seedling MDOP problem, methods, results, and conclusions, including the DARPA-hard technical challenge(s) required to develop an MDOP capability, applicable across DoD, that would substantially improve the requirements that systems can achieve.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 2024
- Accession Number
- AD1227289
Entities
People
- Chad Peterson
- Horea Lies
- Isaac B. Love
- James T. Allison
- Joseph E. Turney
- Larry E. Zeidner
- Marco Morales
- Mohammad Behzadi
- Nancy Amato
- Nathan M. Dunfield
- Peter Zaffetti
- Raphael Mandel
- Shane E. Haydt
- Stav Ashur